Why Transformation Fails — and Who Actually…

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Hello, my name is Mirko Paiters, and I translate how technology actually shapes business reality.

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Most transformations don’t fail at the tool layer, they fail at the power layer.

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That is the part most programs never map, even when they have the same Microsoft licenses,

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the same road maps and the same executive slides.

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One company fundamentally changes how work happens, while another just adds more digital

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weight to the same old bottlenecks.

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Because if you look closely, the system is often rewarding stability and permission seeking

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rather than movement.

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So in this episode, I want to define something I think most organizations are missing entirely.

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I call it the power architect.

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This is the person, or the specific function, responsible for redesigning how authority

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access and decisions actually flow through the business.

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If you miss this step, M365 and co-pilot won’t create transformation, they will just become

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structural compensation for a system that never truly changed.

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So let me take one step back and explain why this keeps happening.

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The real reason transformation stalls.

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The story most leaders tell themselves is a simple one.

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They say people resist change, managers block progress, or the culture is just too slow

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to adopt new ways of working.

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On the surface, that is exactly what it looks like, but resistance is usually just a symptom

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of a much deeper problem.

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The real cause is that the operating system underneath the transformation was left completely

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untouched.

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Decision rights stayed vague and approval chains stayed long, which meant ownership remained

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fragmented while risk stayed concentrated in a few people.

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The behavior stayed exactly where the structure pushed it to stay.

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It’s a system outcome.

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We like to describe transformation as if it’s a communications challenge where we just

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need to send the right memo or launch a champions network.

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But if the day-to-day incentives still reward caution and escalation, then the old behavior

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will beat the new message every single time.

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Because behavior follows consequence.

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In many organizations, the consequence for changing something is still much higher than

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the consequence for delaying it.

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That is the real reason transformation stalls.

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It isn’t because people are being irrational.

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It’s because the structure is perfectly rational for the behavior it produces.

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I’ve seen this play out again and again in Microsoft environments.

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A company rolls out teams to improve collaboration, yet the real decisions still happen in private

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chats and one managers overflowing inbox.

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They launch SharePoint to create a shared knowledge layer, but nobody wants to clean up the

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permissions or the life cycle so the system fills with files instead of clarity.

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When they finally turn on co-pilot, they expect faster decisions and better insight.

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But the information architecture is so weak that nobody knows who owns the judgment.

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When the AI output is wrong, the tool becomes visible, but the bottleneck

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becomes even more visible too.

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And why is that?

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It happens because digital transformation usually changes the formal surface first with new

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apps and new dashboards.

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But the informal power structure underneath often stays exactly the same as it was before

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the rollout.

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The same people still interpret the policies, the same people still slow down the approvals,

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and those same people still act as the unofficial root to getting anything done.

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The organization says it changed, but the people doing the work know it didn’t.

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This is why executive sponsorship alone rarely fixes the problem.

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It matters because it gives you air cover and budget, but symbolic priority is not the

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same thing as structural redesign.

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A senior leader can stand up and say they support modern work, but if frontline decisions

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still require three layers of approval, the real message is obvious.

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Don’t move unless you’re covered.

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That unspoken message will beat the transformation memo every time.

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This is also why so many rollout plans feel busy but ultimately weak.

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They measure how many people attended the training or how many licenses were activated,

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and while those are signals, none of them tell you whether power actually moved.

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If power didn’t move, then transformation didn’t really happen.

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Activity happened and tool exposure happened, but the underlying decision architecture stayed

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completely intact.

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The thing most people miss is this.

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Transformation is not the installation of a new capability.

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It is the redistribution of who gets to act, who gets to decide, and who gets to access

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the information they need.

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When that shift is missing, the system does exactly what it was built to do.

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It protects existing control points and concentrates judgment in the usual places, which turns new

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platforms into just another layer of friction.

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The system is doing exactly what it was designed to do.

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It’s just not designed for what we actually need right now.

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Once you see that, the usual transformation story starts to fall apart.

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The transformation that didn’t transform.

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Let me make this concrete by looking at a scenario I see play out constantly in the enterprise

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world.

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Picture a large organization that has just made a massive investment in the Microsoft ecosystem.

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They’ve rolled out teams across every department, position, sharepoint as the backbone for

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collaboration, and pushed the power platform as the primary way to automate local process

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pain.

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Now, co-pilot is entering the pilot phase, and leadership is buzzing with genuine excitement

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about what comes next.

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On paper, this looks like incredible momentum because there is executive sponsorship, a clear

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budget, and a detailed roadmap.

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You see the working groups, the steering committees, and the adoption metrics all supported by internal

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campaigns telling every employee that a new way of working has finally arrived.

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For a few months, it even feels like the message is sticking.

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People start using teams for their daily sinks.

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Examples begin shifting out of old shared drives into the cloud, and a few clever power automate

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flows start saving people real time.

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Even the co-pilot demos create that familiar, wow, reaction in the room, leading everyone

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to believe that this technology will change everything about their workday.

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But then something strange happens to the momentum.

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The organization becomes more digital yet the actual operating pain barely moves at all.

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Decisions are still slow.

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Cross-functional work remains deeply political, and teams still find themselves waiting

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on the same few people to approve exceptions or interpret a policy.

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Even when everyone knows a direction is right, they still wait for a specific leader to

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bless it before they feel safe moving forward.

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The platform changed, but the speed limit stayed exactly where it was.

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I’ve seen this pattern repeat in dozens of companies where a transformation program

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claims it wants faster collaboration and lower friction.

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Those are fair goals, but they fail because their underlying approval logic remains untouched

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and department heads continue to protect their own local rules.

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And the same compliance interpretations show up late to stop a delivery or project leaders

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still insist on private alignment conversations before anything moves formally.

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Confidence starts to drop.

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Leadership sees plenty of digital activity, but the delivery teams feel a constant drag

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and the business stakeholders start wondering why the investment feels so much bigger than

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the actual change.

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The response to this stagnation is usually very predictable.

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Management calls for more training, more communication, more governance and more champions

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to push the tools.

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And here is the uncomfortable truth.

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You didn’t actually implement a transformation.

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You just layered expensive technology on top of an unchanged system.

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That distinction matters because when a formal system changes without the power system changing,

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the organization enters a strange, paralyzed middle state.

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It looks modern and agile from the outside, but inside, the core dependency structure is

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still decades old.

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People still don’t know who can really make a final call, so they rely on trusted insiders

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to translate ambiguity and keep backup channels alive because the official path feels too

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risky.

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The system then starts compensating in ways that actually create more work.

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Teams becomes the meeting layer for the same old, rigid hierarchy, while SharePoint becomes

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a storage layer for files with no clear ownership.

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Power Platform ends up as a workaround layer for broken handoffs, and co-pilot becomes an

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acceleration layer for information that nobody bothered to govern in the first place.

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This is why leaders get so confused when their telemetry shows high adoption, but the

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business says the transformation isn’t landing.

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The formal system changed, but the power system didn’t, and while the org chart might

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look the same, the unofficial architecture stayed completely untouched.

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That unofficial structure is built on who people fear, who they trust, and who has the

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power to quietly override a decision.

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It’s about who owns the relationship that matters, or who carries the tribal knowledge

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that nobody ever documented.

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That structure is often more real than any slide deck, and until you redesign that layer,

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the transformation will keep collapsing back into familiar, slow behavior.

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It didn’t collapse because the strategy was wrong, or because Microsoft 365 was the wrong

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platform.

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It failed because the organization tried to modernize its capability without modernizing

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its authority.

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From a system’s perspective, that’s not just an incomplete project.

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It’s a fragile one.

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You’ve essentially increased expectations without reducing any of the actual constraints.

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You made collaboration more visible without making ownership any clearer, and you made information

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easier to generate without making judgment easier to apply.

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When you give local teams a view of what’s possible, without giving them the structural

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permission to act, you create fatigue that burns people out fast.

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The business eventually blames IT for being too slow, while IT claims the business won’t

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make a decision, and leadership wonders why the ROI is still invisible.

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The real answer is that the redesign stopped at the surface, and that keeps happening because

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we refuse to separate formal structure from real power.

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Formal structure versus real power.

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Formal structure is what the organization can print on a poster, but real power is what

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the organization actually has to live with every day.

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That is the fundamental distinction we have to understand.

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An org chart shows reporting lines and official authority, telling you who should decide and

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where responsibility is supposed to sit.

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For things like budgeting and compliance, that chart is necessary, but if you want to understand

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why work actually moves or stalls.

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The org chart is never going to be enough.

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Behavior always reveals a second structure that is built from trust, history, expertise,

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and dependency.

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When I look at a transformation program, I don’t just ask who owns the project on paper.

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I start asking who can say no, even without a title.

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I want to know who gets consulted before the meeting starts because everyone knows the

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final decision actually depends on their private approval.

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That is the real power map, and transformation lives or dies inside those hidden routes.

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In Microsoft environments, this shows up everywhere once you know how to look for it.

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Take Teams adoption as a primary example.

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The formal structure says collaboration is now distributed and Teams can work across functions,

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but the real power might still sit with one manager who expects every single decision

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to go through their personal inbox.

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The tool says, “collaborate,” but the power structure says, “Wait for me.”

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And the power structure wins every time.

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We see the same thing with SharePoint ownership.

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Formerly a site has an owner and a governance policy, but in practice everyone knows there

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is one long tenured coordinator who actually knows where the bodies are buried.

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They know what can be deleted and who should get access when the formal process proves

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to be too slow, meaning operational authority lives somewhere else entirely.

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Now map that same logic to the power platform.

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In paper you might have a very clean admin model and a robust environment strategy, but

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the real power sits with the business experts who know which unofficial workaround keeps

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the monthly operation alive.

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If those people aren’t in the design loop, your solution will be technically compliant

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but operationally useless because work follows reality, not documentation.

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This is exactly why Matrix organizations struggle to see power clearly.

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In a Matrix accountability is stretched across functions and regions, which only works

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if decision rights are explicit and conflict resolution is fast.

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Usually they aren’t, so power becomes invisible by design.

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One person might not control the budget but they control the interpretation of the rules,

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while another person controls the relationship with legal.

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You end up with a transformation program trying to move through a structure that looks distributed

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but is actually full of concentrated hidden control points.

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This creates a massive gap where formal governance tells you to follow the process, but

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real world experience tells you to talk to Sarah first.

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People waste half their energy reading the formal model and the other half trying to survive

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the informal one.

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The thing most leaders miss is that informal power isn’t always a bad thing.

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Often these trusted experts and long tenured managers are the only reason work gets done

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at all because they act as structural compensation for a weak formal design.

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They bridge the gaps and create speed where the official system creates nothing but drag.

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However that still means your system is fragile because your performance now depends on

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people carrying an invisible heavy load.

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That is a classic single point of failure.

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If one expert leaves or one overloaded coordinator burns out the whole flow of the business

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weakens immediately.

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Before we can talk about a successful redesign, we have to be honest about the fact that

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authority on paper is not the same as influence in practice.

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If your transformation team is only working with the paper version of your company, they

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are redesigning a fiction.

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This leads us directly to the first structural mistake that almost every program makes.

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Why I cannot own transformation outcomes alone?

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Here is the first major design flow I see in most organizations.

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We make IT responsible for transformation outcomes that they don’t actually control and that creates

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a massive structural mismatch.

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Now to be fair, IT owns a significant part of the infrastructure.

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They handle platform enablement, identity management, security baselines and tenon settings.

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They are the ones who set up the integration patterns, guardrails and support structures

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that keep everything running.

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In a Microsoft environment, IT is the department that decides how teams is provisioned and

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how SharePoint is structured.

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They manage how power platform environments are separated, how access is governed and

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how co-pilot readiness is handled to reduce risk before anything scales.

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That work is essential, but owning the platform is not the same thing as owning the behavior

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that the platform is supposed to change.

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I can deploy teams to every desktop in the company, but they cannot decide whether a sales

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leader will finally stop running key approvals through private email threads.

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00:12:28,520 –> 00:12:32,120
They can enable SharePoint with a perfect technical architecture, yet they have no power to

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force a department to clean up content ownership or stop treating knowledge like private property.

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The same logic applies to the power platform.

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IT can build the most secure guardrails in the world, but they cannot redesign a finance

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exception process if the leadership there still wants every unusual case escalated to the

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same two people.

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Even with co-pilot, IT can make the tool technically available, but they cannot determine if business

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leaders are willing to clarify decision rights and define who owns judgment when AI outputs

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become part of the daily workflow.

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00:13:01,240 –> 00:13:05,480
This is a classic system instability where we give a team responsibility for enablement

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without giving them authority over the actual outcomes.

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The organization creates an accountability model where one function is expected to deliver

246
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transformation through tools, while the constraints that block that transformation sit somewhere

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else entirely.

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00:13:19,000 –> 00:13:22,880
When the results eventually disappoint, the blame usually travels to the most visible

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layer, which is almost always IT.

250
00:13:24,920 –> 00:13:27,360
The business might complain that the rollout was too slow.

251
00:13:27,360 –> 00:13:30,360
The platform is too complex, or the governance is too restrictive.

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00:13:30,360 –> 00:13:34,720
Sometimes those criticisms are valid, but more often than not, IT is being blamed for structural

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00:13:34,720 –> 00:13:36,960
conditions that they simply do not own.

254
00:13:36,960 –> 00:13:39,280
This isn’t a functional accountability model.

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00:13:39,280 –> 00:13:42,240
It is a design error that plays out the same way every time.

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00:13:42,240 –> 00:13:44,960
Imagine a company that deploys Microsoft 365 broadly.

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Teams is live, SharePoint is available, and Power Automate is enabled for everyone.

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00:13:48,880 –> 00:13:52,920
IT has done the heavy lifting on the platform side, but the actual business process is still

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00:13:52,920 –> 00:13:56,000
depend on unclear approvals and siloed ownership.

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00:13:56,000 –> 00:14:00,320
Because the environment isn’t ready to absorb the technology, the platform lands on a foundation

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00:14:00,320 –> 00:14:03,800
of duplicated data and manages protecting their local practices.

262
00:14:03,800 –> 00:14:07,360
When the business eventually says they aren’t seeing the transformation they expected,

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00:14:07,360 –> 00:14:09,360
it shouldn’t be a surprise.

264
00:14:09,360 –> 00:14:13,040
Transformation requires a fundamental change in operating behavior, and IT does not

265
00:14:13,040 –> 00:14:17,480
own sales compensation, HR policy, or finance approval culture.

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00:14:17,480 –> 00:14:21,720
They support those environments, but they don’t govern how the people inside them actually

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00:14:21,720 –> 00:14:22,720
behave.

268
00:14:22,720 –> 00:14:26,080
This clicked for me when I started looking at transformation programs as authority maps

269
00:14:26,080 –> 00:14:28,040
rather than just technical projects.

270
00:14:28,040 –> 00:14:33,080
The moment IT becomes the single point of accountability for business change, the whole model starts

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00:14:33,080 –> 00:14:36,840
leaking because the people with technical control are not the same people with operational

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00:14:36,840 –> 00:14:37,840
authority.

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00:14:37,840 –> 00:14:42,360
If those two sides are not structurally aligned, the system will always default to friction.

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00:14:42,360 –> 00:14:44,480
You can see this clearly in adoption metrics.

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00:14:44,480 –> 00:14:49,400
IT can show you activation rates, usage growth, and environment health, which are all useful

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00:14:49,400 –> 00:14:50,400
signals.

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00:14:50,400 –> 00:14:53,920
However, those signals still don’t answer the core business questions that actually matter.

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Did the decisions get faster?

279
00:14:55,400 –> 00:14:56,600
Did the handoffs get cleaner?

280
00:14:56,600 –> 00:14:57,960
Did the amount of rework go down?

281
00:14:57,960 –> 00:15:01,040
Those are operating outcomes that sit outside of IT’s formal power.

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00:15:01,040 –> 00:15:05,400
If we keep pretending that IT can own transformation alone, we create a predictable loop where IT

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00:15:05,400 –> 00:15:08,080
is the delivery arm and the business is the demand side.

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00:15:08,080 –> 00:15:12,760
The gap between them quickly fills with frustration and coordination theatre, which brings me

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00:15:12,760 –> 00:15:14,720
to the other half of this problem.

286
00:15:14,720 –> 00:15:18,160
Why the business cannot define needs and ignore structure?

287
00:15:18,160 –> 00:15:22,120
The business side usually makes the opposite mistake by treating their needs like a demand

288
00:15:22,120 –> 00:15:26,120
signal without accepting the structural redesign that those needs require.

289
00:15:26,120 –> 00:15:29,600
They say they want more speed, better insights, and less administration.

290
00:15:29,600 –> 00:15:33,920
They want automation and co-pilot so their teams can collaborate better across functions,

291
00:15:33,920 –> 00:15:37,920
and while those are all valid goals, a business requirement is not complete when it only

292
00:15:37,920 –> 00:15:39,880
describes a desired experience.

293
00:15:39,880 –> 00:15:43,760
Saying “make this faster” or “give us better reporting” is not a full requirement.

294
00:15:43,760 –> 00:15:45,160
Those are just outcome requests.

295
00:15:45,160 –> 00:15:49,720
What is missing is the operating model underneath them that defines who will own the data and

296
00:15:49,720 –> 00:15:51,960
who carries the risk if an automation fails.

297
00:15:51,960 –> 00:15:56,080
If the questions about who can act without escalation stay unanswered, the business hasn’t

298
00:15:56,080 –> 00:15:57,760
defined a transformation need.

299
00:15:57,760 –> 00:16:00,360
They have just described an aspiration.

300
00:16:00,360 –> 00:16:04,000
Aspiration without structure creates dependency instead of agility, and I see this constantly

301
00:16:04,000 –> 00:16:05,600
during requirement gathering sessions.

302
00:16:05,600 –> 00:16:09,840
A business function will explain their pain very clearly, citing too many emails, manual

303
00:16:09,840 –> 00:16:11,840
handoffs, and a total lack of visibility.

304
00:16:11,840 –> 00:16:16,600
That is all useful information, but the conversation almost always jumps straight into solution

305
00:16:16,600 –> 00:16:19,280
language before the underlying authority is understood.

306
00:16:19,280 –> 00:16:23,920
People ask if they can build an app, create a dashboard, or use co-pilot to fix the problem.

307
00:16:23,920 –> 00:16:28,080
Maybe they can, but before any of that happens, we need to understand how authority currently

308
00:16:28,080 –> 00:16:29,720
moves through that process.

309
00:16:29,720 –> 00:16:33,680
If a workflow depends on three unofficial approvals and a manager who wants to personally

310
00:16:33,680 –> 00:16:37,680
review every exception, no app is going to make that process agile.

311
00:16:37,680 –> 00:16:41,280
It might make the delay easier to measure, but it won’t remove the structural cause of

312
00:16:41,280 –> 00:16:42,280
the friction.

313
00:16:42,280 –> 00:16:45,920
This is where the business often underestimates its own responsibility in the system.

314
00:16:45,920 –> 00:16:50,640
They want enablement from IT and flexibility from the platform, but they don’t want to reopen

315
00:16:50,640 –> 00:16:52,480
the uncomfortable questions.

316
00:16:52,480 –> 00:16:55,720
Why five people need to sign off on a reversible decision?

317
00:16:55,720 –> 00:17:00,160
They want innovation without having to ask why one person is still acting as a human API

318
00:17:00,160 –> 00:17:01,400
for the entire process.

319
00:17:01,400 –> 00:17:05,840
If the business avoids that work, every technology investment just lands on top of unresolved

320
00:17:05,840 –> 00:17:06,920
power dynamics.

321
00:17:06,920 –> 00:17:10,080
In a Microsoft environment, this becomes obvious very quickly.

322
00:17:10,080 –> 00:17:14,080
A department might ask for a power app because their intake process is messy, but the mess

323
00:17:14,080 –> 00:17:15,200
isn’t the form itself.

324
00:17:15,200 –> 00:17:19,400
The real mess is that nobody agrees who actually owns the request once it enters the system.

325
00:17:19,400 –> 00:17:23,080
We see the same thing when a team wants co-pilot to summarize information faster.

326
00:17:23,080 –> 00:17:27,760
The problem usually isn’t the speed of summarization, but rather that the underlying information

327
00:17:27,760 –> 00:17:31,840
is spread across badly-owned sites and inconsistent permissions.

328
00:17:31,840 –> 00:17:35,560
When leadership asks for a workflow in power automate that keeps failing, it’s often because

329
00:17:35,560 –> 00:17:39,360
the business never clarified who has the right to decide the exception path.

330
00:17:39,360 –> 00:17:42,040
The technology is just exposing the missing structure.

331
00:17:42,040 –> 00:17:43,680
It isn’t creating it.

332
00:17:43,680 –> 00:17:47,600
User needs and frontline friction absolutely matter, but those needs are incomplete without

333
00:17:47,600 –> 00:17:48,600
a power flow design.

334
00:17:48,600 –> 00:17:53,080
The moment you digitize a process, you are hardening assumptions about ownership and judgment,

335
00:17:53,080 –> 00:17:56,760
and if those assumptions are weak, the system will just scale that weakness.

336
00:17:56,760 –> 00:17:59,760
Demand without a redistribution of power creates dependency.

337
00:17:59,760 –> 00:18:03,360
The business might get a nicer interface or faster notifications, but if the same few

338
00:18:03,360 –> 00:18:08,000
people still hold all the control, the organization ends up feeling modern and constrained

339
00:18:08,000 –> 00:18:09,000
at the same time.

340
00:18:09,000 –> 00:18:13,040
That is a dangerous combination because expectations rise while the decision architecture stays

341
00:18:13,040 –> 00:18:14,040
stuck in the past.

342
00:18:14,040 –> 00:18:18,280
Eventually, the business starts asking why the platform feels heavy, while IT starts

343
00:18:18,280 –> 00:18:20,720
asking why nobody will make a structural decision.

344
00:18:20,720 –> 00:18:24,760
Governance gets tighter because the ambiguity keeps producing risk and the actual value of

345
00:18:24,760 –> 00:18:26,960
the transformation starts leaking right through the middle.

346
00:18:26,960 –> 00:18:30,920
We are left with a gap where IT enables and the business demands, but neither side is

347
00:18:30,920 –> 00:18:32,760
redesigning how power actually moves.

348
00:18:32,760 –> 00:18:36,560
If you audited your transformation strategy the same way you audit your technical systems,

349
00:18:36,560 –> 00:18:37,560
what would you find?

350
00:18:37,560 –> 00:18:41,160
Is your current model designed to actually redistribute authority?

351
00:18:41,160 –> 00:18:43,960
Or is it just a high-tech version of the same old bottlenecks?

352
00:18:43,960 –> 00:18:47,680
Because at the end of the day, a system without structural alignment isn’t a transformation,

353
00:18:47,680 –> 00:18:50,880
that’s just an expensive way to stay exactly where you are.

354
00:18:50,880 –> 00:18:53,600
Governance exists, but the system roots around it.

355
00:18:53,600 –> 00:18:57,840
Now we get to one of the strangest patterns in digital transformation, where an organization

356
00:18:57,840 –> 00:19:02,120
adds more governance because it wants more control, but somehow ends up with less of it.

357
00:19:02,120 –> 00:19:05,720
That sounds completely backwards, but it happens all the time because governance on paper is

358
00:19:05,720 –> 00:19:07,840
not the same thing as governance in execution.

359
00:19:07,840 –> 00:19:11,960
If the formal path becomes too slow, too unclear, or too disconnected from how work actually

360
00:19:11,960 –> 00:19:15,520
happens, people don’t stop moving, they simply route around it.

361
00:19:15,520 –> 00:19:17,000
That is the part leaders often miss.

362
00:19:17,000 –> 00:19:20,800
They assume weak adherence means the staff lacks discipline, but usually it just means the

363
00:19:20,800 –> 00:19:23,480
operating pressure is stronger than the formal design.

364
00:19:23,480 –> 00:19:24,560
It’s a system outcome.

365
00:19:24,560 –> 00:19:28,480
Think about a Microsoft environment after a few years of rapid growth, where you have teams

366
00:19:28,480 –> 00:19:33,280
naming rules, provisioning standards, and SharePoint ownership models all layered together.

367
00:19:33,280 –> 00:19:37,560
You might have access review processes, power platform environment strategies, and DLP policies

368
00:19:37,560 –> 00:19:41,640
managed by a center of excellence with documented roles and escalation paths.

369
00:19:41,640 –> 00:19:44,720
From a compliance perspective, that setup can look very mature, but then you look at the

370
00:19:44,720 –> 00:19:46,920
lived environment and see a different story.

371
00:19:46,920 –> 00:19:50,840
Teams sprawl keeps growing, while sites exist with unclear ownership, and permissions are

372
00:19:50,840 –> 00:19:54,400
granted informally because someone on the ground needs to move fast.

373
00:19:54,400 –> 00:19:58,400
Files get copied into site locations because the official site is too hard to use, and critical

374
00:19:58,400 –> 00:20:03,040
decisions happen in private chats because nobody wants to wait for the formal review cycle.

375
00:20:03,040 –> 00:20:06,280
You might find a flow running in production that provides real value, yet nobody is fully

376
00:20:06,280 –> 00:20:09,080
sure who still owns it, or how it’s maintained.

377
00:20:09,080 –> 00:20:10,360
So what actually happened here?

378
00:20:10,360 –> 00:20:14,120
Governance existed, but the system built shadow paths around it because people optimize

379
00:20:14,120 –> 00:20:16,960
for throughput when the formal model adds too much friction.

380
00:20:16,960 –> 00:20:20,640
This isn’t because they hate the rules, but because they are trying to get the work done.

381
00:20:20,640 –> 00:20:23,960
This is why adding more rules often creates more hidden behavior.

382
00:20:23,960 –> 00:20:28,880
If creating a team takes too long, people use old channels or private chats, and if SharePoint

383
00:20:28,880 –> 00:20:33,380
permissions are too hard to request, access gets solved through local workarounds or broad

384
00:20:33,380 –> 00:20:35,520
sharing that nobody planned for.

385
00:20:35,520 –> 00:20:39,720
When power platform approvals feel disconnected from business urgency, make us build where

386
00:20:39,720 –> 00:20:42,960
they can, and hope the value arrives before the review catches up.

387
00:20:42,960 –> 00:20:47,280
The organization thinks it has control because the documents exist, but real control is weakening

388
00:20:47,280 –> 00:20:51,240
because the system is teaching people that the official route is not the usable route.

389
00:20:51,240 –> 00:20:52,640
That’s a serious distinction to make.

390
00:20:52,640 –> 00:20:57,160
Policy without adherence is not control, it is just documentation, and documentation can

391
00:20:57,160 –> 00:20:58,800
create a false sense of safety.

392
00:20:58,800 –> 00:21:02,560
And I’ve seen leadership teams point to governance frameworks as proof that risk is handled,

393
00:21:02,560 –> 00:21:05,840
but then you look one layer down and find something else entirely.

394
00:21:05,840 –> 00:21:10,280
You’ll find a team with dozens of guests and no active ownership review, or a SharePoint

395
00:21:10,280 –> 00:21:15,480
site that became business critical while running on inherited permissions, nobody trusts.

396
00:21:15,480 –> 00:21:20,000
There might be a power automate flow tied to one account and one undocumented exception

397
00:21:20,000 –> 00:21:25,280
path, or a co-pilot pilot where nobody has resolved whether the data exposure is acceptable.

398
00:21:25,280 –> 00:21:30,360
This is where governance maturity becomes misleading because maturity is not the number of controls

399
00:21:30,360 –> 00:21:31,360
you define.

400
00:21:31,360 –> 00:21:36,320
It is the degree to which the environment can actually absorb those controls without

401
00:21:36,320 –> 00:21:39,560
forcing work into the shadows, and that takes intentional design.

402
00:21:39,560 –> 00:21:44,400
You need access models that reflect accountability and review cycles that match business speed,

403
00:21:44,400 –> 00:21:48,040
along with ownership structures that can actually survive employee turnover.

404
00:21:48,040 –> 00:21:51,040
Otherwise, the informal network becomes the real governance layer.

405
00:21:51,040 –> 00:21:54,920
The trusted manager or the helpful admin becomes the person who knows which rule matters

406
00:21:54,920 –> 00:21:58,160
and who to message when the official process gets stuck.

407
00:21:58,160 –> 00:22:02,000
These people are often trying to help, but structurally they become invisible routers of

408
00:22:02,000 –> 00:22:03,320
authority.

409
00:22:03,320 –> 00:22:08,560
Invisible routers do not scale well because they create inconsistency and exception dependency.

410
00:22:08,560 –> 00:22:12,560
From a business perspective, governance starts feeling arbitrary, and from an IT perspective

411
00:22:12,560 –> 00:22:17,800
it feels ignored, which creates a gap that matters even more once AI enters the picture.

412
00:22:17,800 –> 00:22:20,120
AI does not fix power structures.

413
00:22:20,120 –> 00:22:25,320
Now map that reality to AI, and the picture gets sharper, faster, and much more expensive.

414
00:22:25,320 –> 00:22:30,120
AI does not remove structural weakness, it reveals it, accelerates it, and in some cases

415
00:22:30,120 –> 00:22:31,560
it actually hardens it.

416
00:22:31,560 –> 00:22:34,040
That’s the part a lot of leadership teams still underestimate.

417
00:22:34,040 –> 00:22:38,520
They look at co-pilot or agents, and imagine a productivity layer floating above the organization

418
00:22:38,520 –> 00:22:42,160
that helps everyone work faster and reduce administrative drag.

419
00:22:42,160 –> 00:22:46,400
While that can happen, it only works inside a decision environment that already knows where

420
00:22:46,400 –> 00:22:48,760
authority sits and what access is appropriate.

421
00:22:48,760 –> 00:22:52,000
If those things are unclear, AI doesn’t fix the confusion, it scales it.

422
00:22:52,000 –> 00:22:56,480
This is why I’d say AI doesn’t become the source of truth in an organization, but rather

423
00:22:56,480 –> 00:22:58,120
a mirror for structural truth.

424
00:22:58,120 –> 00:23:02,320
If approvals are vague, AI drafts more work that still waits in those same vague approval

425
00:23:02,320 –> 00:23:03,320
paths.

426
00:23:03,320 –> 00:23:07,880
If ownership is fragmented, AI produces outputs that move through fragmented accountability,

427
00:23:07,880 –> 00:23:11,160
and if information access is weak, the AI either stards or overshares.

428
00:23:11,160 –> 00:23:14,560
The model is not the bottleneck, the bottleneck becomes the speed limit for the model.

429
00:23:14,560 –> 00:23:18,920
Leaders often ask where they can use AI, but before that we need to ask where work currently

430
00:23:18,920 –> 00:23:21,240
slows down because nobody knows who can decide.

431
00:23:21,240 –> 00:23:25,680
We need to find where judgment sits in one overloaded person, or where we are pretending

432
00:23:25,680 –> 00:23:29,320
a policy exists while everyone uses a personal exception path.

433
00:23:29,320 –> 00:23:34,280
Once AI enters the flow, those hidden weaknesses stop being hidden and they become very expensive.

434
00:23:34,280 –> 00:23:38,680
A team might use co-pilot to summarize meetings and prepare analyses, but then the real business

435
00:23:38,680 –> 00:23:39,920
question appears.

436
00:23:39,920 –> 00:23:44,440
Who can act on that output and who is accountable if the draft recommendation is wrong?

437
00:23:44,440 –> 00:23:48,240
If those roles are still unclear, then all AI has done is increase the speed of ambiguity

438
00:23:48,240 –> 00:23:51,240
and speed without clarity is not transformation, it’s amplification.

439
00:23:51,240 –> 00:23:54,560
The moment you automate a broken authority path, you don’t get a better process, you just

440
00:23:54,560 –> 00:23:56,120
get a faster broken process.

441
00:23:56,120 –> 00:23:59,920
The escalation still goes nowhere, and the risk still sits with the same person who was

442
00:23:59,920 –> 00:24:02,520
already overloaded before the workflow existed.

443
00:24:02,520 –> 00:24:05,440
And now the system produces more volume around that weak point.

444
00:24:05,440 –> 00:24:09,000
AI reveals the bottleneck by making the bottleneck the speed limit.

445
00:24:09,000 –> 00:24:12,760
In Microsoft environments you can already see this very clearly because co-pilot exposes

446
00:24:12,760 –> 00:24:17,400
weak information architecture fast, bad naming, poor ownership, and messy permissions, all

447
00:24:17,400 –> 00:24:21,480
become visible the moment people expect useful answers from the environment.

448
00:24:21,480 –> 00:24:25,600
Power Platform exposes fragmented judgment and if nobody has defined where business rules

449
00:24:25,600 –> 00:24:30,360
end and human exceptions begin, the app becomes a map of unresolved responsibility.

450
00:24:30,360 –> 00:24:33,400
Organizations will eventually expose something even more uncomfortable, which is whether

451
00:24:33,400 –> 00:24:36,720
your organization actually knows how to distribute oversight.

452
00:24:36,720 –> 00:24:40,120
Once AI starts doing drafts and triage at scale, the question is no longer whether the

453
00:24:40,120 –> 00:24:43,160
output looks smart, but who intervenes when it fails?

454
00:24:43,160 –> 00:24:46,000
That is a power question, not a prompt question or a feature question.

455
00:24:46,000 –> 00:24:49,680
You have to know who has the authority to override and who has the duty to review.

456
00:24:49,680 –> 00:24:53,480
If those answers are weak, AI maturity will stay weak too, which is one reason so many

457
00:24:53,480 –> 00:24:55,720
pilots struggle to reach business impact.

458
00:24:55,720 –> 00:24:59,320
The organization added intelligence to the surface while leaving the underlying decision

459
00:24:59,320 –> 00:25:04,680
structure untouched, AI can absolutely improve throughput, but only if the operating model is

460
00:25:04,680 –> 00:25:05,920
ready to absorb it.

461
00:25:05,920 –> 00:25:10,680
Otherwise it becomes structural compensation again, a fast layer trying to rescue a slow

462
00:25:10,680 –> 00:25:14,880
system and fast layers never fix slow systems by themselves.

463
00:25:14,880 –> 00:25:16,840
The question leaders should really ask.

464
00:25:16,840 –> 00:25:21,280
Once we recognize that AI doesn’t automatically strip away structural friction, the questions

465
00:25:21,280 –> 00:25:23,200
leadership asks have to shift.

466
00:25:23,200 –> 00:25:28,000
We can’t just keep asking where to use AI or which workflow needs to be automated next

467
00:25:28,000 –> 00:25:31,200
because those questions usually arrive far too late to matter.

468
00:25:31,200 –> 00:25:35,500
The better approach is to look at the decision architecture itself and identify which choices

469
00:25:35,500 –> 00:25:40,840
in the business are currently slow, overloaded, political or trapped inside expertise silos.

470
00:25:40,840 –> 00:25:43,000
That is where a real redesign starts.

471
00:25:43,000 –> 00:25:47,200
Most operational pain doesn’t actually stem from a lack of tools, but rather from a decision

472
00:25:47,200 –> 00:25:51,320
architecture that no longer fits the speed and complexity the business requires.

473
00:25:51,320 –> 00:25:55,040
You can feel this when a workflow becomes heavy because too many people have to touch it

474
00:25:55,040 –> 00:25:59,200
or when a project drags because one specific person has become the mandatory interpreter

475
00:25:59,200 –> 00:26:01,240
for every risky move.

476
00:26:01,240 –> 00:26:06,040
When authority sits miles away from where information first appears, the team inevitably

477
00:26:06,040 –> 00:26:07,480
feels stuck.

478
00:26:07,480 –> 00:26:11,160
Work doesn’t just slow down because of a bad process, it slows down because judgment is

479
00:26:11,160 –> 00:26:12,920
poorly placed within the system.

480
00:26:12,920 –> 00:26:16,600
If I were sitting in a room with a leadership team today, I wouldn’t start the conversation

481
00:26:16,600 –> 00:26:18,360
by talking about software features.

482
00:26:18,360 –> 00:26:22,000
I would start with the decision audit and ask four very direct questions to find the

483
00:26:22,000 –> 00:26:26,760
friction, which decisions take too long and which ones are being escalated way too often.

484
00:26:26,760 –> 00:26:30,520
We also need to know which decisions depend entirely on one trusted person and which ones

485
00:26:30,520 –> 00:26:33,240
should never have been centralized in the first place.

486
00:26:33,240 –> 00:26:37,360
Answering these questions immediately changes the conversation from generic productivity

487
00:26:37,360 –> 00:26:40,600
to identifying where business motion is actually being constrained.

488
00:26:40,600 –> 00:26:44,320
This matters because not every decision should move faster in the exact same way.

489
00:26:44,320 –> 00:26:48,280
Some choices need to move closer to the edge where the actual work happens, while others

490
00:26:48,280 –> 00:26:52,480
must stay controlled because the downside is high or the regulatory consequences are too

491
00:26:52,480 –> 00:26:54,200
real to ignore.

492
00:26:54,200 –> 00:26:58,040
Many leaders still treat speed as the ultimate goal, but from a system perspective, the better

493
00:26:58,040 –> 00:26:59,040
goal is fit.

494
00:26:59,040 –> 00:27:02,800
You want to put reversible decisions in the hands of people with the most context while

495
00:27:02,800 –> 00:27:07,000
keeping high-risk irreversible decisions inside much stronger guardrails.

496
00:27:07,000 –> 00:27:11,000
This allows AI to handle the drafting where patent recognition helps, but it leaves the

497
00:27:11,000 –> 00:27:15,200
final call to humans where ethics and trade-offs require real judgment.

498
00:27:15,200 –> 00:27:17,960
That is what intentional decision design looks like.

499
00:27:17,960 –> 00:27:21,440
Once you start looking through this lens, the fog around automation and policy starts

500
00:27:21,440 –> 00:27:22,680
to clear up quite quickly.

501
00:27:22,680 –> 00:27:26,560
You can finally see where ownership is missing because everyone is touching the work, but

502
00:27:26,560 –> 00:27:28,800
nobody is actually carrying the weight of the decision.

503
00:27:28,800 –> 00:27:33,040
Now, if we map that logic to a Microsoft environment, the questions become much more

504
00:27:33,040 –> 00:27:34,360
precise.

505
00:27:34,360 –> 00:27:38,480
Instead of asking where to deploy co-pilot, ask which decisions are being delayed because

506
00:27:38,480 –> 00:27:42,320
people spend all day searching, summarizing, and reconciling data.

507
00:27:42,320 –> 00:27:45,960
Instead of asking where to build a power app, ask which decision path is being choked

508
00:27:45,960 –> 00:27:48,720
by unclear handoffs or constant exception chasing?

509
00:27:48,720 –> 00:27:51,040
We shouldn’t be asking how to increase teams usage.

510
00:27:51,040 –> 00:27:54,440
We should be asking where collaboration is failing because authority is still hidden

511
00:27:54,440 –> 00:27:56,560
in private channels and manager inboxes.

512
00:27:56,560 –> 00:27:59,960
These are stronger questions because they connect the platform directly to the operating

513
00:27:59,960 –> 00:28:01,280
reality of the company.

514
00:28:01,280 –> 00:28:04,240
Leaders don’t need more abstract digital ambition right now.

515
00:28:04,240 –> 00:28:06,280
They need precision about where judgment should sit.

516
00:28:06,280 –> 00:28:10,440
I realized this when I saw how many transformation conversations are actually just avoidance

517
00:28:10,440 –> 00:28:11,960
conversations in disguise.

518
00:28:11,960 –> 00:28:15,760
We talk about tools because tools are easier to deal with than authority and we focus

519
00:28:15,760 –> 00:28:20,360
on adoption because it’s less painful than redefining decision rights.

520
00:28:20,360 –> 00:28:24,560
Innovation is a popular word because it sounds much better than redistributing control but

521
00:28:24,560 –> 00:28:26,760
the business reality doesn’t care about that language.

522
00:28:26,760 –> 00:28:30,000
It only cares whether work can move with clarity or if it’s hitting a wall.

523
00:28:30,000 –> 00:28:34,160
If you remember nothing else from this, remember that this is not a prompt problem.

524
00:28:34,160 –> 00:28:36,400
It is a decision architecture problem.

525
00:28:36,400 –> 00:28:41,000
If your decisions are unclear, AI will simply scale that unclear output at a much higher

526
00:28:41,000 –> 00:28:45,840
velocity. If approvals are excessive, automation will just rush work into a massive approval

527
00:28:45,840 –> 00:28:46,840
bottleneck.

528
00:28:46,840 –> 00:28:50,920
The leadership move isn’t to ask how to add more intelligence but to ask where judgment

529
00:28:50,920 –> 00:28:52,000
belongs now.

530
00:28:52,000 –> 00:28:53,840
The power architect defined.

531
00:28:53,840 –> 00:28:57,480
This is where I want to introduce a concept I’ve been thinking about, the power architect.

532
00:28:57,480 –> 00:29:01,520
I want to be very clear that this isn’t just a fancy new job title but a fundamental

533
00:29:01,520 –> 00:29:03,320
structural responsibility.

534
00:29:03,320 –> 00:29:08,400
A power architect is the person or the cross-functional group responsible for designing how power

535
00:29:08,400 –> 00:29:10,960
flows through the operating system of the organization.

536
00:29:10,960 –> 00:29:14,080
I’m not talking about power in a theatrical or political sense and I’m certainly not

537
00:29:14,080 –> 00:29:16,520
talking about who wins the loudest argument in a meeting.

538
00:29:16,520 –> 00:29:19,160
I’m talking about something much more operational and structural.

539
00:29:19,160 –> 00:29:23,080
I’m talking about who gets to decide, who gets access to the data and who is allowed

540
00:29:23,080 –> 00:29:24,800
to act without seeking escalation.

541
00:29:24,800 –> 00:29:28,520
The power architect looks at who carries the risk and who interprets the ambiguity

542
00:29:28,520 –> 00:29:31,600
when the written policy runs out and human judgment has to take over.

543
00:29:31,600 –> 00:29:36,040
That is what power looks like in a business reality, yet in most digital transformations nobody

544
00:29:36,040 –> 00:29:37,520
actually owns that layer.

545
00:29:37,520 –> 00:29:41,720
You have plenty of sponsors, architects and product owners but nobody is truly accountable

546
00:29:41,720 –> 00:29:45,800
for aligning authority with access across the entire flow of work.

547
00:29:45,800 –> 00:29:50,040
From a system perspective, the power architect is responsible for designing five specific

548
00:29:50,040 –> 00:29:51,040
things.

549
00:29:51,040 –> 00:29:56,960
Decision flow, data ownership, access distribution, interaction patterns and escalation parts.

550
00:29:56,960 –> 00:30:01,240
Those five pillars tell you whether the organization can actually absorb a transformation

551
00:30:01,240 –> 00:30:05,720
or if it will just decorate an old broken model with expensive new technology.

552
00:30:05,720 –> 00:30:09,560
If those five areas are weak, the system will keep producing the same frustrating outcomes

553
00:30:09,560 –> 00:30:12,080
no matter how modern the platform looks on the surface.

554
00:30:12,080 –> 00:30:15,960
The power architect asks the questions that most programs skip like where judgment is

555
00:30:15,960 –> 00:30:19,960
being overloaded or where permissions are misaligned with actual accountability.

556
00:30:19,960 –> 00:30:23,800
They look for where the organization is depending on heroic individuals to compensate for

557
00:30:23,800 –> 00:30:25,480
fundamentally weak design.

558
00:30:25,480 –> 00:30:31,200
This role is critical now because tools like M365, power platform and co-pilot are not

559
00:30:31,200 –> 00:30:32,680
just passive software.

560
00:30:32,680 –> 00:30:36,360
They are operating surfaces that expose how a business really functions.

561
00:30:36,360 –> 00:30:41,360
Teams shows you if collaboration is actually distributed or just digitally supervised and

562
00:30:41,360 –> 00:30:44,880
SharePoint reveals whether ownership is real or just performative.

563
00:30:44,880 –> 00:30:48,600
Power platform proves whether your governance can actually enable local action without the

564
00:30:48,600 –> 00:30:49,680
wheels falling off.

565
00:30:49,680 –> 00:30:53,680
The power architect sits at the exact point where platform behavior and organizational

566
00:30:53,680 –> 00:30:54,680
behavior meet.

567
00:30:54,680 –> 00:30:56,520
They don’t just ask if a solution can be built.

568
00:30:56,520 –> 00:30:59,840
They ask what kind of authority model that design will reinforce.

569
00:30:59,840 –> 00:31:04,360
But that discipline, a transformation quickly turns into mere coordination, which usually involves

570
00:31:04,360 –> 00:31:07,920
a lot of meetings and steering committees, but very little structural movement.

571
00:31:07,920 –> 00:31:10,400
A good power architect doesn’t try to centralize everything.

572
00:31:10,400 –> 00:31:12,800
In fact, they usually do the exact opposite.

573
00:31:12,800 –> 00:31:17,680
The role exists to place authority where it best serves the work while keeping the overall

574
00:31:17,680 –> 00:31:19,720
risk visible and controlled.

575
00:31:19,720 –> 00:31:22,760
Sometimes that means pushing decision rights down to the front line and other times it

576
00:31:22,760 –> 00:31:26,840
means tightening ownership because ambiguity is creating too much drag.

577
00:31:26,840 –> 00:31:30,960
This isn’t about concentrating power but about finding the right power fit for the business

578
00:31:30,960 –> 00:31:32,760
model you are trying to run.

579
00:31:32,760 –> 00:31:36,480
If nobody takes responsibility for this, the default architecture of the past will simply

580
00:31:36,480 –> 00:31:37,480
take over.

581
00:31:37,480 –> 00:31:42,400
History, urgency and fear will start making the decisions for you and the system will design

582
00:31:42,400 –> 00:31:45,960
itself around whatever pressure happens to be the strongest at the moment.

583
00:31:45,960 –> 00:31:48,440
I’ll put it as directly as I can.

584
00:31:48,440 –> 00:31:52,360
Without a power architect, transformation is just coordination, not actual change.

585
00:31:52,360 –> 00:31:56,520
You can deploy the tools and hit your roadmap targets, but the deep operating constraints

586
00:31:56,520 –> 00:31:58,240
will remain exactly where they were.

587
00:31:58,240 –> 00:32:02,480
When people ask who actually fixes a failing transformation, the answer isn’t another adoption

588
00:32:02,480 –> 00:32:03,480
campaign.

589
00:32:03,480 –> 00:32:07,720
It’s the person who can see the hidden architecture and deliberately reshape it.

590
00:32:07,720 –> 00:32:09,280
What the power architect is not.

591
00:32:09,280 –> 00:32:12,960
But here’s the thing, the moment you define a role like this, people immediately try to

592
00:32:12,960 –> 00:32:17,360
map it to something they already know and they assume it’s just a fancy title for a job

593
00:32:17,360 –> 00:32:18,720
that already exists.

594
00:32:18,720 –> 00:32:22,440
They might tell you this is just enterprise architecture with a new coat of paint, or perhaps

595
00:32:22,440 –> 00:32:25,240
it’s a product owner who has been given a bit more teeth.

596
00:32:25,240 –> 00:32:29,000
Those will argue it’s just a center of excellence lead who finally got some executive backing

597
00:32:29,000 –> 00:32:31,720
or maybe it’s just governance rebranded for a new era.

598
00:32:31,720 –> 00:32:32,920
None of those are quite right.

599
00:32:32,920 –> 00:32:36,400
Those roles are all important and in the real world they often overlap or share the same

600
00:32:36,400 –> 00:32:37,400
space.

601
00:32:37,400 –> 00:32:40,640
You might even have one person carrying parts of these responsibilities for a while, but

602
00:32:40,640 –> 00:32:44,000
structurally the power architect is doing something fundamentally different.

603
00:32:44,000 –> 00:32:45,880
Let’s start with the enterprise architect.

604
00:32:45,880 –> 00:32:50,200
In most organizations, enterprise architecture focuses on coherence, which means they spend

605
00:32:50,200 –> 00:32:54,200
their time on technology standards, integration patterns and capability maps.

606
00:32:54,200 –> 00:32:57,600
They are the ones looking at the target state and making sure the platform alignment across

607
00:32:57,600 –> 00:32:59,560
the entire estate actually makes sense.

608
00:32:59,560 –> 00:33:03,640
That is vital work, but coherence is not the same thing as power redistribution.

609
00:33:03,640 –> 00:33:09,200
An enterprise architect can design a perfectly clean future state stack while leaving the underlying

610
00:33:09,200 –> 00:33:11,440
authority model completely untouched.

611
00:33:11,440 –> 00:33:15,280
You can have the most beautiful architecture diagrams in the world and still suffer through

612
00:33:15,280 –> 00:33:20,040
the same old approval bottlenecks that have slowed the company down for a decade.

613
00:33:20,040 –> 00:33:24,080
The result is usually elegant integration that still forces every minor decision through

614
00:33:24,080 –> 00:33:26,160
the same overloaded hierarchy.

615
00:33:26,160 –> 00:33:30,800
You can rationalize your platforms all day long, but if you don’t change who actually gets

616
00:33:30,800 –> 00:33:33,040
to act, you haven’t changed the system.

617
00:33:33,040 –> 00:33:34,640
The difference is actually very simple.

618
00:33:34,640 –> 00:33:38,960
The enterprise architect asks if a solution fits the enterprise while the power architect

619
00:33:38,960 –> 00:33:42,600
asks what kind of behavior a specific authority model will produce.

620
00:33:42,600 –> 00:33:46,000
That is a much deeper level of intervention because it looks at the human friction inside

621
00:33:46,000 –> 00:33:47,000
the technical gears.

622
00:33:47,000 –> 00:33:48,360
Now consider the product owner.

623
00:33:48,360 –> 00:33:51,920
A product owner is usually accountable for value delivery inside a specific boundary

624
00:33:51,920 –> 00:33:53,240
like a product or a domain.

625
00:33:53,240 –> 00:33:58,160
They prioritize the backlog, manage the daily trade-offs, and represent what the users and

626
00:33:58,160 –> 00:34:02,600
the business actually need to keep the delivery moving toward a specific outcome.

627
00:34:02,600 –> 00:34:05,360
Again, this is a critical role for any modern business.

628
00:34:05,360 –> 00:34:09,320
However, a product owner typically has to work within an operating structure that was already

629
00:34:09,320 –> 00:34:10,320
handed to them.

630
00:34:10,320 –> 00:34:14,240
They can improve the product and shape the decisions within their lane, but they rarely

631
00:34:14,240 –> 00:34:18,160
have the mandate to redesign cross-functional decision rights or data ownership across

632
00:34:18,160 –> 00:34:19,920
the whole company.

633
00:34:19,920 –> 00:34:24,040
They are hired to optimize inside the lane, but the power architect is the one who redraws

634
00:34:24,040 –> 00:34:27,120
the lane when the lane itself is what’s causing the drag.

635
00:34:27,120 –> 00:34:28,960
Then we have the center of excellence lead.

636
00:34:28,960 –> 00:34:33,760
This role is a big deal in Microsoft environments because the COE often sits right where innovation

637
00:34:33,760 –> 00:34:35,080
and control collide.

638
00:34:35,080 –> 00:34:38,600
A talented COE lead creates the standards, the guardrails, and the training paths that

639
00:34:38,600 –> 00:34:41,680
keep local innovation from turning into total chaos.

640
00:34:41,680 –> 00:34:46,560
That work is incredibly useful in Power Platform or M365 environments, but a COE usually

641
00:34:46,560 –> 00:34:48,480
governs enablement rather than authority.

642
00:34:48,480 –> 00:34:52,720
It helps the organization use the platform well, but it doesn’t automatically own the redesign

643
00:34:52,720 –> 00:34:54,200
of the business power structures.

644
00:34:54,200 –> 00:34:58,040
A COE can support a redesign or point out where the friction is, but it cannot solve a

645
00:34:58,040 –> 00:35:03,480
broken sales approval model or fragmented HR ownership just by publishing better standards.

646
00:35:03,480 –> 00:35:07,440
Standards are not the same thing as authority, and that is why governance alone is never enough

647
00:35:07,440 –> 00:35:09,480
to fix a systemic problem.

648
00:35:09,480 –> 00:35:11,120
Governance is essentially a control layer.

649
00:35:11,120 –> 00:35:14,320
It defines what is allowed, what needs a review, and what gets monitored to keep the

650
00:35:14,320 –> 00:35:15,840
organization safe.

651
00:35:15,840 –> 00:35:19,920
It’s necessary work, but governance mostly answers the question of how to reduce risk while

652
00:35:19,920 –> 00:35:21,720
allowing people to use the tools.

653
00:35:21,720 –> 00:35:24,160
The power architect answers a different question.

654
00:35:24,160 –> 00:35:29,040
How should responsibility be shaped so that work moves with less friction and more accountability?

655
00:35:29,040 –> 00:35:32,040
Those two questions are connected, but they are definitely not the same.

656
00:35:32,040 –> 00:35:35,440
Governance can stop people from doing something bad, but it cannot, by itself, create a better

657
00:35:35,440 –> 00:35:37,320
flow of judgment across the department.

658
00:35:37,320 –> 00:35:40,720
This is exactly where many transformation teams become structurally incomplete because

659
00:35:40,720 –> 00:35:45,480
they have the architecture and the product thinking, but nobody owns the shape of responsibility

660
00:35:45,480 –> 00:35:47,120
across the system.

661
00:35:47,120 –> 00:35:51,320
Nobody is asking if the access levels actually match the accountability or if the escalation

662
00:35:51,320 –> 00:35:54,040
parts are just teaching people how to be helpless.

663
00:35:54,040 –> 00:35:58,800
When one expert becomes a hidden dependency for the entire company, it’s a sign that formal

664
00:35:58,800 –> 00:36:02,080
ownership and operational reality are no longer aligned.

665
00:36:02,080 –> 00:36:06,080
To put it as plainly as possible, the enterprise architect owns technical coherence, and the

666
00:36:06,080 –> 00:36:08,160
product owner owns prioritized value.

667
00:36:08,160 –> 00:36:13,000
The COE lead owns the standards and enablement while the governance function owns the control.

668
00:36:13,000 –> 00:36:19,080
The power architect owns the fit between authority, accountability, access, and the flow of decisions.

669
00:36:19,080 –> 00:36:21,000
That is the missing layer in the stack.

670
00:36:21,000 –> 00:36:24,920
Once that difference clicks, you can see why so many teams are full of brilliant people

671
00:36:24,920 –> 00:36:28,760
who are still structurally unable to change how the work actually moves.

672
00:36:28,760 –> 00:36:33,400
The missing layer in most transformation programs, we can now name the structural gap for what

673
00:36:33,400 –> 00:36:34,760
it really is.

674
00:36:34,760 –> 00:36:38,320
Most transformation programs aren’t failing because they lack effort or intelligence and

675
00:36:38,320 –> 00:36:40,640
in fact they usually have an abundance of both.

676
00:36:40,640 –> 00:36:44,840
They have the executive sponsors, the program managers, the security experts, and the compliance

677
00:36:44,840 –> 00:36:45,840
officers.

678
00:36:45,840 –> 00:36:49,160
They have change managers and adoption leads and steering committees large enough to populate

679
00:36:49,160 –> 00:36:50,160
a small country.

680
00:36:50,160 –> 00:36:52,160
Yet the transformation still drifts.

681
00:36:52,160 –> 00:36:56,200
The reason is that all of those roles can be active and competent, while one critical

682
00:36:56,200 –> 00:36:58,720
responsibility remains completely unknown.

683
00:36:58,720 –> 00:37:02,720
Nobody is explicitly accountable for redesigning how decisions and responsibility move across

684
00:37:02,720 –> 00:37:04,440
the different functions of the business.

685
00:37:04,440 –> 00:37:05,440
That is the missing layer.

686
00:37:05,440 –> 00:37:09,000
If you look closely at these programs, you’ll see they are built to coordinate change rather

687
00:37:09,000 –> 00:37:10,680
than to redesign the constraints.

688
00:37:10,680 –> 00:37:15,360
It sounds like a subtle distinction, but it changes every outcome the system produces.

689
00:37:15,360 –> 00:37:19,760
Coordination asks who needs to be informed or who needs to sign off on a specific task.

690
00:37:19,760 –> 00:37:23,600
Redesign asks the harder questions like why a certain decision sits in a specific office

691
00:37:23,600 –> 00:37:27,160
or why a team needs three layers of approval for a low-risk action.

692
00:37:27,160 –> 00:37:30,720
Redesign wants to know why risk stays concentrated in one role.

693
00:37:30,720 –> 00:37:34,640
Or why a manager is still acting as a gatekeeper for work they aren’t formally responsible

694
00:37:34,640 –> 00:37:35,640
for.

695
00:37:35,640 –> 00:37:38,840
Because those questions make people uncomfortable, they usually get buried in steering

696
00:37:38,840 –> 00:37:41,920
committees that manage the symptoms instead of the causes.

697
00:37:41,920 –> 00:37:45,720
The program stays busy, the slides move, and the risks are logged, but underneath it all

698
00:37:45,720 –> 00:37:49,560
the same structural constraints keep producing the same old outcomes.

699
00:37:49,560 –> 00:37:51,160
This is what I call co-ordination theatre.

700
00:37:51,160 –> 00:37:55,600
It’s a lot of visible movement around a system that nobody is actually rewiring at a fundamental

701
00:37:55,600 –> 00:37:56,600
level.

702
00:37:56,600 –> 00:37:59,800
I see this all the time in Microsoft programs because the tools are powerful enough to

703
00:37:59,800 –> 00:38:02,000
create a very convincing illusion of progress.

704
00:38:02,000 –> 00:38:05,280
You can clean up a tenant, improve your team’s governance and start a power platform

705
00:38:05,280 –> 00:38:07,280
CE and it will look like you’re winning.

706
00:38:07,280 –> 00:38:11,800
But if nobody owns the power map, the informal structure of the company will keep winning by default.

707
00:38:11,800 –> 00:38:16,160
Decisions will still root through the same trusted individuals and approvals will still pile

708
00:38:16,160 –> 00:38:19,960
up on the same three desks regardless of what the new software can do.

709
00:38:19,960 –> 00:38:25,000
When access reflects history instead of accountability, the transformation team starts managing

710
00:38:25,000 –> 00:38:27,360
around those issues instead of fixing them.

711
00:38:27,360 –> 00:38:32,080
They create side conversations and private alignments just to keep the program moving, which

712
00:38:32,080 –> 00:38:35,080
means the program itself becomes a form of structural compensation.

713
00:38:35,080 –> 00:38:39,080
At that point, the transformation is actually helping the old broken system survive the pressure

714
00:38:39,080 –> 00:38:40,080
of the new one.

715
00:38:40,080 –> 00:38:43,800
That isn’t a real transformation, it’s just temporary load bearing behavior.

716
00:38:43,800 –> 00:38:46,880
And that is dangerous because it often looks like genuine commitment.

717
00:38:46,880 –> 00:38:50,920
People will point to how hard the team is working or how engaged the leadership seems to

718
00:38:50,920 –> 00:38:51,920
be.

719
00:38:51,920 –> 00:38:55,800
But support is not the same thing as redesign and if the team has to manually bridge ownership

720
00:38:55,800 –> 00:38:58,040
gaps every day, they aren’t fixing the structure.

721
00:38:58,040 –> 00:39:00,400
They are just absorbing the cost of a bad structure.

722
00:39:00,400 –> 00:39:04,800
That cost shows up as longer cycle times, more rework and a meeting load that eventually

723
00:39:04,800 –> 00:39:06,360
leads to total fatigue.

724
00:39:06,360 –> 00:39:10,520
This is why so many steering committees feel powerless despite meeting every week to review

725
00:39:10,520 –> 00:39:12,160
risks and unblock issues.

726
00:39:12,160 –> 00:39:16,160
They are managing the consequences of a weak power architecture after the damage has already

727
00:39:16,160 –> 00:39:17,160
been done.

728
00:39:17,160 –> 00:39:20,160
By the time they see the problem, the system has already taught everyone how to work around

729
00:39:20,160 –> 00:39:21,160
the formal model.

730
00:39:21,160 –> 00:39:25,160
If you remember nothing else, remember that a transformation program is structurally incomplete

731
00:39:25,160 –> 00:39:28,120
when nobody owns the redesign of the power flow.

732
00:39:28,120 –> 00:39:31,920
It doesn’t matter how good the tech stack is or how polished the cons plan looks if the

733
00:39:31,920 –> 00:39:33,520
power flow is still broken.

734
00:39:33,520 –> 00:39:37,280
If nobody owns that layer, then history and fear will own it instead.

735
00:39:37,280 –> 00:39:41,640
The next move for your organization isn’t more coordination, it’s making the real power

736
00:39:41,640 –> 00:39:42,840
map visible.

737
00:39:42,840 –> 00:39:46,040
So you can finally start the work of redesigning it.

738
00:39:46,040 –> 00:39:47,880
Responsibility 1 – Map Real Power

739
00:39:47,880 –> 00:39:51,920
If we are serious about redesigning how we work, our first responsibility is actually quite

740
00:39:51,920 –> 00:39:52,920
simple.

741
00:39:52,920 –> 00:39:53,920
We have to map real power.

742
00:39:53,920 –> 00:39:57,600
I don’t mean the assumed power listed in a directory or the official authority described

743
00:39:57,600 –> 00:39:58,600
in a slide deck.

744
00:39:58,600 –> 00:40:02,240
I’m not talking about the polished sanitized version of leadership found in a digital

745
00:40:02,240 –> 00:40:03,440
transformation charter.

746
00:40:03,440 –> 00:40:05,240
I’m talking about real functional power.

747
00:40:05,240 –> 00:40:08,760
This is the point where most organizations start to feel a bit uncomfortable because the

748
00:40:08,760 –> 00:40:13,360
moment you map power properly, you stop treating structure as a theory and start seeing

749
00:40:13,360 –> 00:40:15,200
it as lived behavior.

750
00:40:15,200 –> 00:40:19,560
Live behavior is much harder to hide behind corporate jargon and it reveals exactly how

751
00:40:19,560 –> 00:40:21,080
work actually gets done.

752
00:40:21,080 –> 00:40:24,360
To find this map, I’d start with three specific questions.

753
00:40:24,360 –> 00:40:26,000
Who is the person who actually decides?

754
00:40:26,000 –> 00:40:27,880
Who is the one who blocks progress?

755
00:40:27,880 –> 00:40:29,680
And who is the person who accelerates it?

756
00:40:29,680 –> 00:40:32,920
Those are simple questions that usually lead to very sharp honest answers.

757
00:40:32,920 –> 00:40:37,520
If you ask those three things across a single value stream, a specific workflow or a decision

758
00:40:37,520 –> 00:40:42,000
system, the hidden architecture of the company starts showing up almost immediately.

759
00:40:42,000 –> 00:40:47,120
When you identify who decides, you find where formal or informal authority really lands.

760
00:40:47,120 –> 00:40:50,880
When you find who blocks, you see exactly where delay enters the system, whether that

761
00:40:50,880 –> 00:40:53,480
bottleneck is visible on a dashboard or not.

762
00:40:53,480 –> 00:40:56,560
The third question is the one that matters most to me.

763
00:40:56,560 –> 00:41:00,040
Identifying who accelerates tells you who the organization already relies on when the

764
00:41:00,040 –> 00:41:04,240
official path is too slow, too vague, or just too politically expensive to navigate.

765
00:41:04,240 –> 00:41:07,920
These accelerators are almost always the people carrying a massive, invisible load for

766
00:41:07,920 –> 00:41:09,040
the company.

767
00:41:09,040 –> 00:41:12,880
They are the people who know exactly who to call to get a favor, the managers who can

768
00:41:12,880 –> 00:41:17,760
make ambiguity disappear with a single email, and the long tenured experts who interpret

769
00:41:17,760 –> 00:41:19,360
policy in real time.

770
00:41:19,360 –> 00:41:23,640
You’ll find coordinators who keep work moving simply because everyone trusts their personal

771
00:41:23,640 –> 00:41:25,800
judgment more than the documented process.

772
00:41:25,800 –> 00:41:28,800
These are incredibly useful people, but they are also loud signals.

773
00:41:28,800 –> 00:41:32,680
They are proof that the formal system is not enough on its own to sustain the business.

774
00:41:32,680 –> 00:41:34,160
Let’s make this practical for a moment.

775
00:41:34,160 –> 00:41:39,880
If I were mapping real power during an M365 or AI-related transformation, I wouldn’t even

776
00:41:39,880 –> 00:41:41,760
look at the org chart to start.

777
00:41:41,760 –> 00:41:43,360
Instead, I would begin with decision points.

778
00:41:43,360 –> 00:41:47,400
I’d look at where a request first enters the system, where it typically stalls out, and

779
00:41:47,400 –> 00:41:49,320
where it requires a formal approval.

780
00:41:49,320 –> 00:41:53,600
I’d track where exceptions show up and where risk gets escalated, specifically looking

781
00:41:53,600 –> 00:41:57,440
for the person who has to translate a vague policy into a concrete action.

782
00:41:57,440 –> 00:42:00,680
Then I would trace the lived path of a project, not just the official one.

783
00:42:00,680 –> 00:42:05,040
The official path might look clean, moving from a business request to manager approval,

784
00:42:05,040 –> 00:42:08,760
then through IT review and compliance before finally reaching deployment.

785
00:42:08,760 –> 00:42:10,960
But the lived path is often a different story.

786
00:42:10,960 –> 00:42:14,680
It starts with a business request followed by a quiet alignment meeting with one specific

787
00:42:14,680 –> 00:42:15,680
senior manager.

788
00:42:15,680 –> 00:42:18,960
Then there’s a quick check with the person who actually understands the data, followed

789
00:42:18,960 –> 00:42:24,520
by a private message to a friend in compliance because nobody trusts the official ticket queue.

790
00:42:24,520 –> 00:42:28,680
After a long delay while finance tries to interpret the risk, the formal submission finally

791
00:42:28,680 –> 00:42:29,680
happens.

792
00:42:29,680 –> 00:42:33,680
But only after the decision has already been socially agreed upon behind the scenes.

793
00:42:33,680 –> 00:42:36,080
That gap between the two parts is your real map.

794
00:42:36,080 –> 00:42:39,880
This is where it becomes relevant for anyone responsible for building systems, because you

795
00:42:39,880 –> 00:42:41,560
aren’t just mapping roles anymore.

796
00:42:41,560 –> 00:42:42,560
You are mapping dependency.

797
00:42:42,560 –> 00:42:45,520
A useful power map doesn’t need to be complicated.

798
00:42:45,520 –> 00:42:49,960
You just need to list the role, the actual decision authority, who they depend on, where

799
00:42:49,960 –> 00:42:53,320
the delay comes from, and what the risk is if that person is absent.

800
00:42:53,320 –> 00:42:56,320
That is more than enough to start seeing the structural patterns.

801
00:42:56,320 –> 00:42:59,040
Take a common SharePoint ownership issue as an example.

802
00:42:59,040 –> 00:43:02,720
Formerly a site might have two owners listed in the settings, but the real map shows that

803
00:43:02,720 –> 00:43:07,520
the site owner is just a name on paper, while the operational dependency sits entirely on

804
00:43:07,520 –> 00:43:09,960
one coordinator.

805
00:43:09,960 –> 00:43:14,440
Permission changes are rooted through IT because nobody trusts local ownership, and retention

806
00:43:14,440 –> 00:43:18,080
questions are delayed by a specific person’s interpretation of policy.

807
00:43:18,080 –> 00:43:21,680
If that coordinator goes on leave, the business risk rises immediately.

808
00:43:21,680 –> 00:43:25,360
That single map tells you more about your organization than 10 different policy documents

809
00:43:25,360 –> 00:43:26,360
ever could.

810
00:43:26,360 –> 00:43:28,040
We see the same thing with co-pilot readiness.

811
00:43:28,040 –> 00:43:31,680
Formally access is controlled through licensing and admin policies, but the real power map

812
00:43:31,680 –> 00:43:36,240
shows that IT controls the enablement while legal influences the acceptable use.

813
00:43:36,240 –> 00:43:39,800
Data owners remain unclear, yet business leaders expect immediate value.

814
00:43:39,800 –> 00:43:44,360
Users end up relying on informal experts to tell them which AI outputs are safe or misleading

815
00:43:44,360 –> 00:43:49,000
because no single role actually owns the judgment call when AI moves toward action.

816
00:43:49,000 –> 00:43:51,880
Suddenly the actual redesign problem becomes visible.

817
00:43:51,880 –> 00:43:55,240
It’s the same story with the power platform where you might think the issue is just apps

818
00:43:55,240 –> 00:43:56,240
sprawl.

819
00:43:56,240 –> 00:44:00,440
When you map the real power, you find that while makers can build and admins can restrict,

820
00:44:00,440 –> 00:44:03,840
there is one business expert who controls all the process knowledge.

821
00:44:03,840 –> 00:44:08,680
There is one specific approver who controls production confidence and one manager who informally

822
00:44:08,680 –> 00:44:11,560
decides which automations are politically safe to scale.

823
00:44:11,560 –> 00:44:13,960
That isn’t a tooling issue, that is a power topology.

824
00:44:13,960 –> 00:44:17,600
The reason this matters is very simple, you cannot redesign a system that you refuse to

825
00:44:17,600 –> 00:44:18,600
see.

826
00:44:18,600 –> 00:44:22,840
You will miss the informal overwrite points every time.

827
00:44:22,840 –> 00:44:27,560
If you only map named owners, you will miss the knowledge orders, the unofficial interpreters,

828
00:44:27,560 –> 00:44:30,480
and the overloaded human routers who keep the lights on.

829
00:44:30,480 –> 00:44:34,840
When you only map governance, you miss the places where urgency has already replaced rules

830
00:44:34,840 –> 00:44:36,640
with personal relationships.

831
00:44:36,640 –> 00:44:41,080
This first responsibility is about moving away from org chart fiction and toward operating

832
00:44:41,080 –> 00:44:42,160
reality.

833
00:44:42,160 –> 00:44:46,080
The goal here isn’t to blame people, and that’s a distinction we have to make clearly.

834
00:44:46,080 –> 00:44:48,560
We aren’t trying to expose individuals as the problem.

835
00:44:48,560 –> 00:44:51,680
Because usually those individuals are just compensating for a broken system.

836
00:44:51,680 –> 00:44:55,440
The point is to expose where the system has concentrated too much judgment, too much

837
00:44:55,440 –> 00:44:58,920
access mediation, or too much exception management in too few places.

838
00:44:58,920 –> 00:45:00,040
That is the real insight.

839
00:45:00,040 –> 00:45:03,840
Once you can see where the real power sits, you can stop moralizing about why things are

840
00:45:03,840 –> 00:45:06,280
delayed and start redesigning the dependencies.

841
00:45:06,280 –> 00:45:09,800
You can finally ask better questions, should this authority actually sit here?

842
00:45:09,800 –> 00:45:14,080
Why is this exception path based on a personal relationship instead of a defined process?

843
00:45:14,080 –> 00:45:18,280
Why does this role carry so much risk without having the matching access?

844
00:45:18,280 –> 00:45:21,360
Once you start answering those questions, the next gap becomes obvious.

845
00:45:21,360 –> 00:45:25,360
Mapping power almost always shows that the people carrying the accountability do not have

846
00:45:25,360 –> 00:45:27,880
the access they need to act.

847
00:45:27,880 –> 00:45:30,920
Responsibility, too, align access with responsibility.

848
00:45:30,920 –> 00:45:34,760
That brings us to the next responsibility, aligning access with responsibility.

849
00:45:34,760 –> 00:45:39,200
Once you map real power, you usually find the same structural failure in every department.

850
00:45:39,200 –> 00:45:43,520
The people who are held accountable for results often lack the access they need to actually

851
00:45:43,520 –> 00:45:44,520
produce them.

852
00:45:44,520 –> 00:45:49,200
While the people who do have the high level access are rarely the ones carrying the actual business

853
00:45:49,200 –> 00:45:53,080
risk, this split creates a massive dependency very quickly.

854
00:45:53,080 –> 00:45:57,680
On paper, these dependencies look small, but in the reality of daily work, they feel like

855
00:45:57,680 –> 00:45:59,760
a constant weight on productivity.

856
00:45:59,760 –> 00:46:03,800
From a system perspective, access is not just a technical setting in an admin portal, it

857
00:46:03,800 –> 00:46:05,240
is a decision capability.

858
00:46:05,240 –> 00:46:09,080
It determines who can move without waiting for a meeting, who can inspect the truth of a

859
00:46:09,080 –> 00:46:13,120
situation directly, and who can correct a problem at the source before it scales.

860
00:46:13,120 –> 00:46:17,120
When access and accountability drift apart, the system starts producing very predictable

861
00:46:17,120 –> 00:46:18,640
negative behaviors.

862
00:46:18,640 –> 00:46:23,440
You see more chasing of colleagues, more constant escalation, and more dangerous workarounds.

863
00:46:23,440 –> 00:46:27,320
People start granting broad permissions informally because the official model is too restrictive

864
00:46:27,320 –> 00:46:31,640
to get work done, or you see the opposite where people have too much access with too little

865
00:46:31,640 –> 00:46:36,240
ownership which creates unmanaged risk and weakens trust across the entire environment.

866
00:46:36,240 –> 00:46:38,640
The principle here has to stay very plain.

867
00:46:38,640 –> 00:46:40,120
Permissions should match accountability.

868
00:46:40,120 –> 00:46:44,400
It doesn’t have to be perfect in every single edge case, but it must be true structurally.

869
00:46:44,400 –> 00:46:48,040
If a person owns a specific outcome, they need enough access to influence that outcome

870
00:46:48,040 –> 00:46:51,080
without begging the system for permission every single day.

871
00:46:51,080 –> 00:46:56,640
If a person has broad access to sensitive data or publishing rights, then clear accountability

872
00:46:56,640 –> 00:46:59,360
has to sit right alongside that access.

873
00:46:59,360 –> 00:47:01,600
Otherwise, you end up with one of two bad designs.

874
00:47:01,600 –> 00:47:06,360
You either have power without responsibility, or you have responsibility without power.

875
00:47:06,360 –> 00:47:09,200
Both of these setups are inherently unstable and will eventually fail.

876
00:47:09,200 –> 00:47:12,080
Now let’s map that logic to our Microsoft environments.

877
00:47:12,080 –> 00:47:13,720
Think about Teams ownership for a moment.

878
00:47:13,720 –> 00:47:18,200
A team lead is expected to run across functional space, keep conversations moving, and ensure

879
00:47:18,200 –> 00:47:19,960
the right people are included.

880
00:47:19,960 –> 00:47:23,720
But if that lead can’t manage membership cleanly or resolve channel structures without

881
00:47:23,720 –> 00:47:26,560
a ticket, then their ownership is just performative.

882
00:47:26,560 –> 00:47:30,280
They are called the owner, but the actual operating power sits somewhere else entirely.

883
00:47:30,280 –> 00:47:32,560
We see this even more clearly in SharePoint.

884
00:47:32,560 –> 00:47:36,440
There is a massive difference between author ownership, content ownership, and platform

885
00:47:36,440 –> 00:47:37,440
ownership.

886
00:47:37,440 –> 00:47:41,520
It creates the file, the business owner carries the process risk, and the platform owner manages

887
00:47:41,520 –> 00:47:42,520
the environment.

888
00:47:42,520 –> 00:47:46,320
Those are three distinct roles when organizations collapse them into one confusion spreads

889
00:47:46,320 –> 00:47:47,640
like a virus.

890
00:47:47,640 –> 00:47:51,880
People start assuming the person who uploaded a file owns its entire life cycle, or they

891
00:47:51,880 –> 00:47:56,880
assume IT owns the quality of the content just because IT owns the platform.

892
00:47:56,880 –> 00:48:01,320
Sometimes a site owner is expected to understand the business consequences of access when they

893
00:48:01,320 –> 00:48:05,280
really just inherited admin rights during a migration three years ago.

894
00:48:05,280 –> 00:48:07,920
It isn’t ownership, it’s just left over configuration.

895
00:48:07,920 –> 00:48:10,480
The power platform shows us the same pattern in a different form.

896
00:48:10,480 –> 00:48:14,400
A maker builds a flow, an admin manages the environment, and a business manager depends

897
00:48:14,400 –> 00:48:15,400
on the outcome.

898
00:48:15,400 –> 00:48:19,760
When that flow fails, everyone suddenly discovers that nobody had the end-to-end authority to

899
00:48:19,760 –> 00:48:24,000
both understand the business consequence and change the operating condition.

900
00:48:24,000 –> 00:48:26,880
When that happens, Shadow it grows and support tickets rise.

901
00:48:26,880 –> 00:48:30,760
People start exporting data locally and copying files to private drives just to get their

902
00:48:30,760 –> 00:48:31,760
jobs done.

903
00:48:31,760 –> 00:48:35,240
The manual controls start coming back in through the side door because the system is doing

904
00:48:35,240 –> 00:48:36,920
exactly what it was set up to do.

905
00:48:36,920 –> 00:48:40,760
The system is forcing work to travel across too many control boundaries just to complete

906
00:48:40,760 –> 00:48:42,680
a normal everyday task.

907
00:48:42,680 –> 00:48:46,920
Co-pilot raises these stakes even higher because access hygiene is no longer just a security

908
00:48:46,920 –> 00:48:47,920
issue.

909
00:48:47,920 –> 00:48:49,760
It is now an output quality issue.

910
00:48:49,760 –> 00:48:53,480
If the wrong people can see too much, AI will amplify that exposure.

911
00:48:53,480 –> 00:48:57,520
If the right people can’t reach what they need, the AI will produce thin, weak, and partial

912
00:48:57,520 –> 00:48:58,520
value.

913
00:48:58,520 –> 00:49:02,880
If you’re asking whether co-pilot is worth it, are usually asking the question far too late.

914
00:49:02,880 –> 00:49:07,000
The real question is whether your accountability, your permissions, and your information architecture

915
00:49:07,000 –> 00:49:10,800
are aligned enough to support useful AI behavior in the first place.

916
00:49:10,800 –> 00:49:12,120
That is the structural test.

917
00:49:12,120 –> 00:49:17,120
Misaligned access creates three specific costs, delay, risk, and learned helplessness.

918
00:49:17,120 –> 00:49:20,400
Delay happens because people are always waiting on gatekeepers.

919
00:49:20,400 –> 00:49:24,640
Risk happens because broad informal access is used to bypass formal friction.

920
00:49:24,640 –> 00:49:29,240
Learned helplessness happens when teams stop trying to solve problems and start designing their

921
00:49:29,240 –> 00:49:32,040
entire workday around whoever holds the keys.

922
00:49:32,040 –> 00:49:34,400
That is poised for any kind of digital transformation.

923
00:49:34,400 –> 00:49:37,800
Better design means the people carrying the risk can act close enough to the source of

924
00:49:37,800 –> 00:49:39,280
the problem to actually manage it.

925
00:49:39,280 –> 00:49:41,560
This doesn’t mean giving everyone unlimited freedom.

926
00:49:41,560 –> 00:49:45,600
It means giving them bounded authority with clear access, clear accountability, and a

927
00:49:45,600 –> 00:49:48,920
clear review process for when the risk threshold changes.

928
00:49:48,920 –> 00:49:52,360
You don’t solve this by opening everything up and you certainly don’t solve it by locking

929
00:49:52,360 –> 00:49:53,360
everything down.

930
00:49:53,360 –> 00:49:57,440
Solve it by matching access to the actual responsibility model the business claims it

931
00:49:57,440 –> 00:49:58,440
once.

932
00:49:58,440 –> 00:50:02,240
When access finally aligns with responsibility, something important changes.

933
00:50:02,240 –> 00:50:05,000
Decisions stop queuing up behind permission friction.

934
00:50:05,000 –> 00:50:08,120
And once that happens, the next design problem comes into view.

935
00:50:08,120 –> 00:50:12,000
It’s no longer just about who can access the data, but how the decisions actually move

936
00:50:12,000 –> 00:50:13,840
through the system.

937
00:50:13,840 –> 00:50:14,840
Responsibility 3.

938
00:50:14,840 –> 00:50:16,040
Design decision flow.

939
00:50:16,040 –> 00:50:20,640
Once access starts matching responsibility, the next design problem becomes obvious and

940
00:50:20,640 –> 00:50:25,440
it forces us to ask how decisions actually move through the organization.

941
00:50:25,440 –> 00:50:28,760
Many leaders think they have a problem with the quality of their decisions, but if you

942
00:50:28,760 –> 00:50:32,400
look closely what they really have is a decision flow problem.

943
00:50:32,400 –> 00:50:36,120
The choice itself might be perfectly fine, but the damage happens in the movement around

944
00:50:36,120 –> 00:50:40,360
it because there are too many handoffs, too many approvals, and too much ambiguity about

945
00:50:40,360 –> 00:50:43,720
where individual judgment ends and escalation begins.

946
00:50:43,720 –> 00:50:47,400
This is where the power architect has to stop being theoretical and get very practical.

947
00:50:47,400 –> 00:50:51,680
You need to reduce unnecessary approvals by clarifying handoffs and separating decisions based

948
00:50:51,680 –> 00:50:53,920
on risk, reversibility and consequence.

949
00:50:53,920 –> 00:50:57,880
That last part matters because not every decision deserves the same amount of friction,

950
00:50:57,880 –> 00:51:01,680
and a system that treats a low stakes choice like a high stakes one is a system that is failing

951
00:51:01,680 –> 00:51:02,680
to scale.

952
00:51:02,680 –> 00:51:06,800
If a decision is reversible, low risk and close to the actual work, it should never move

953
00:51:06,800 –> 00:51:11,400
through five layers of review just because the organization has a habit of controlling everything

954
00:51:11,400 –> 00:51:12,640
through escalation.

955
00:51:12,640 –> 00:51:16,240
That isn’t caution and from a system perspective, it’s just latency.

956
00:51:16,240 –> 00:51:17,800
Compounds over time.

957
00:51:17,800 –> 00:51:21,520
Turning normal work into waiting and filling calendars with alignment meetings that make

958
00:51:21,520 –> 00:51:24,480
capable people ask for permission instead of using their judgment.

959
00:51:24,480 –> 00:51:28,760
Now the opposite is also true because some decisions should stay tightly controlled.

960
00:51:28,760 –> 00:51:33,160
If the downside is hard to reverse, the compliance impact is real, or the financial exposure is

961
00:51:33,160 –> 00:51:36,400
high, then a stronger review process absolutely belongs there.

962
00:51:36,400 –> 00:51:40,160
But here’s the thing, most organizations don’t distinguish between these two categories

963
00:51:40,160 –> 00:51:41,160
clearly enough.

964
00:51:41,160 –> 00:51:45,520
So reversible decisions get trapped in heavyweight approval logic, while high risk decisions

965
00:51:45,520 –> 00:51:50,640
often rely on informal interpretation because nobody defined the review path properly.

966
00:51:50,640 –> 00:51:55,160
Both of those scenarios are examples of weak design, and a better model starts by asking

967
00:51:55,160 –> 00:51:56,640
three specific questions.

968
00:51:56,640 –> 00:51:57,880
Is this decision reversible?

969
00:51:57,880 –> 00:51:59,120
Who carries the consequence?

970
00:51:59,120 –> 00:52:01,400
What information is required to make it well?

971
00:52:01,400 –> 00:52:05,560
Those questions tell you exactly where the decision should sit, which means if it’s reversible,

972
00:52:05,560 –> 00:52:10,080
you put it closer to the edge, and if the consequence is high, you build a stronger review.

973
00:52:10,080 –> 00:52:12,800
Now map that logic into your Microsoft environment.

974
00:52:12,800 –> 00:52:16,840
A power-automate exception route should not bounce across half the organization because nobody

975
00:52:16,840 –> 00:52:21,000
wants to own a small judgment call, and a site access request should not require broad

976
00:52:21,000 –> 00:52:25,760
escalation if the accountable owner can approve it safely within clear guardrails.

977
00:52:25,760 –> 00:52:30,080
Even a co-pilot-generated draft can stall out if no one has defined who is responsible

978
00:52:30,080 –> 00:52:33,400
for turning that draft output into an accountable action.

979
00:52:33,400 –> 00:52:37,680
The power architect has to define four very specific lanes, where humans decide where AI

980
00:52:37,680 –> 00:52:40,600
drafts, where policy gates, and where escalation begins.

981
00:52:40,600 –> 00:52:44,520
Those four lanes remove a massive amount of invisible friction because people finally

982
00:52:44,520 –> 00:52:48,680
know whether they are expected to think, verify, approve, or simply root.

983
00:52:48,680 –> 00:52:52,600
When those lanes aren’t clear, every workflow becomes heavier than it needs to be, and the

984
00:52:52,600 –> 00:52:56,560
system starts to rely on social reflexes instead of designed parts.

985
00:52:56,560 –> 00:53:00,320
I’ve seen this happen in organizations where one person becomes the default interpreter

986
00:53:00,320 –> 00:53:04,720
for everything, slightly unusual, not because they were assigned that role, but because

987
00:53:04,720 –> 00:53:09,160
everyone learned the system feels safer when that person is involved.

988
00:53:09,160 –> 00:53:13,400
It might feel helpful in the short term, but structurally it’s a single point of failure.

989
00:53:13,400 –> 00:53:18,040
Single points of failure are not signs of expertise, they are signs of concentrated risk.

990
00:53:18,040 –> 00:53:22,680
If one person has to validate every important exception, or explain every policy boundary,

991
00:53:22,680 –> 00:53:25,920
then the system has outsourced its decision flow to a human bottleneck.

992
00:53:25,920 –> 00:53:29,880
That person may look incredibly valuable and they usually are, but the design itself is

993
00:53:29,880 –> 00:53:30,880
fragile.

994
00:53:30,880 –> 00:53:33,600
This is the checkpoint I want leaders to remember.

995
00:53:33,600 –> 00:53:34,600
Concentration is risk.

996
00:53:34,600 –> 00:53:38,880
It isn’t just about infrastructure concentration, it’s about judgment concentration too.

997
00:53:38,880 –> 00:53:43,120
And judgment is concentrated, cycle time expands and meeting loads rise because execution

998
00:53:43,120 –> 00:53:47,520
becomes dependent on a person’s availability instead of the system’s design.

999
00:53:47,520 –> 00:53:51,400
The work here is not to eliminate judgment, but to distribute it properly by documenting

1000
00:53:51,400 –> 00:53:54,920
rules and creating bounded authority for normal decisions.

1001
00:53:54,920 –> 00:53:59,560
That changes business outcomes fast because decision latency drops and fewer people are pulled

1002
00:53:59,560 –> 00:54:02,800
into meetings just to authorize obvious moves.

1003
00:54:02,800 –> 00:54:06,400
Execution gets faster because handoffs are cleaner, and rework goes down because decisions

1004
00:54:06,400 –> 00:54:09,040
are made with clearer authority and better ownership.

1005
00:54:09,040 –> 00:54:10,040
That’s the payoff.

1006
00:54:10,040 –> 00:54:13,000
It isn’t about abstract agility, it’s about operational flow.

1007
00:54:13,000 –> 00:54:16,960
Once you start designing decision flow this way, the hidden bottlenecks that were being

1008
00:54:16,960 –> 00:54:20,560
protected by the old model finally start becoming visible.

1009
00:54:20,560 –> 00:54:22,960
Responsibility for, remove hidden bottlenecks.

1010
00:54:22,960 –> 00:54:27,360
Once decision flow becomes visible, the next responsibility is to remove the hidden bottlenecks

1011
00:54:27,360 –> 00:54:29,000
still sitting inside the system.

1012
00:54:29,000 –> 00:54:33,040
This is where transformation gets very honest because these bottlenecks are usually not

1013
00:54:33,040 –> 00:54:34,040
technical problems.

1014
00:54:34,040 –> 00:54:35,840
They are people pattern bottlenecks.

1015
00:54:35,840 –> 00:54:39,840
You see it in the overloaded approver, the expert nobody can replace, or the manager who becomes

1016
00:54:39,840 –> 00:54:44,400
the fallback for every exception because nobody trusts the rules without their interpretation.

1017
00:54:44,400 –> 00:54:47,680
These people are often excellent at what they do, which is exactly what makes the problem

1018
00:54:47,680 –> 00:54:48,680
so hard to see.

1019
00:54:48,680 –> 00:54:53,480
The organization mistakes their individual usefulness for system health, but usefulness and resilience

1020
00:54:53,480 –> 00:54:54,680
are not the same thing.

1021
00:54:54,680 –> 00:54:58,520
If one person disappears for two weeks and the work slows down or starts producing inconsistent

1022
00:54:58,520 –> 00:55:02,080
outcomes, that person was not just helping the system, they were holding it together.

1023
00:55:02,080 –> 00:55:04,520
That is not a talent story, it is a structural story.

1024
00:55:04,520 –> 00:55:08,360
Hero behavior can keep a broken design alive for years, like a trusted operator who compensates

1025
00:55:08,360 –> 00:55:14,080
for unclear governance or a senior manager who resolves edge cases to fix distributed confusion.

1026
00:55:14,080 –> 00:55:17,520
From a human perspective that looks like commitment, but from a system perspective it’s

1027
00:55:17,520 –> 00:55:18,920
structural compensation.

1028
00:55:18,920 –> 00:55:22,880
The system is not working because it is robust, it is working because a few people are absorbing

1029
00:55:22,880 –> 00:55:24,160
the missing design.

1030
00:55:24,160 –> 00:55:28,360
This creates two risks at the same time, throughput risk and continuity risk, everything cues

1031
00:55:28,360 –> 00:55:30,520
behind the same scarce people.

1032
00:55:30,520 –> 00:55:33,520
And once those people leave or burn out, the system has no redundancy.

1033
00:55:33,520 –> 00:55:37,280
In infrastructure we understand this immediately because you don’t build critical capability

1034
00:55:37,280 –> 00:55:40,360
around one server or one admin account and call it resilient.

1035
00:55:40,360 –> 00:55:43,000
Yet organizations do this with judgment all the time.

1036
00:55:43,000 –> 00:55:47,040
One person knows the real approval logic, one person understands the exception history,

1037
00:55:47,040 –> 00:55:50,960
and one person knows why the automation fails every third Thursday when a specific edge

1038
00:55:50,960 –> 00:55:52,280
case appears.

1039
00:55:52,280 –> 00:55:53,920
That isn’t resilient design.

1040
00:55:53,920 –> 00:55:56,920
It’s a single point of failure disguised as expertise.

1041
00:55:56,920 –> 00:56:00,680
The power architect has to go looking for these concentrations to find where key person

1042
00:56:00,680 –> 00:56:04,120
risk is highest and where coordination is happening invisibly.

1043
00:56:04,120 –> 00:56:08,040
In Microsoft environments these bottlenecks are usually easy to spot once you know what to

1044
00:56:08,040 –> 00:56:09,040
look for.

1045
00:56:09,040 –> 00:56:12,960
You might find a power automate flow no one wants to touch because the original maker left

1046
00:56:12,960 –> 00:56:17,160
or a sharepoint environment that depends on one unofficial owner who just knows how the

1047
00:56:17,160 –> 00:56:19,040
permissions work.

1048
00:56:19,040 –> 00:56:23,240
Even a co-pilot rollout can suffer if only a few people know which content can be trusted

1049
00:56:23,240 –> 00:56:27,000
and which documents are just digital fossils with impressive file names.

1050
00:56:27,000 –> 00:56:29,840
The system is leaning on hidden people instead of explicit design.

1051
00:56:29,840 –> 00:56:31,880
So we have to do three things.

1052
00:56:31,880 –> 00:56:35,600
Redistribute ownership, create redundancy and document judgment rules.

1053
00:56:35,600 –> 00:56:38,800
Redistributing ownership means taking the load that sits informally in one person and

1054
00:56:38,800 –> 00:56:42,760
placing it into defined roles and shared responsibility.

1055
00:56:42,760 –> 00:56:46,480
Creating redundancy ensures that important decisions and support paths do not collapse when

1056
00:56:46,480 –> 00:56:49,080
one person is absent from the office.

1057
00:56:49,080 –> 00:56:52,960
Documenting judgment rules means converting the ask Sarah She knows culture into explicit

1058
00:56:52,960 –> 00:56:56,000
criteria and thresholds the system can actually carry.

1059
00:56:56,000 –> 00:57:00,600
This matters more than most leaders think because every undocumented rule creates future delay.

1060
00:57:00,600 –> 00:57:04,880
Over time that undocumented judgment turns into dependency, dependency turns into a bottleneck

1061
00:57:04,880 –> 00:57:06,960
and the bottleneck turns into fragility.

1062
00:57:06,960 –> 00:57:11,440
If you want structural resilience you have to stop rewarding heroic rescue as proof that

1063
00:57:11,440 –> 00:57:12,640
the design is working.

1064
00:57:12,640 –> 00:57:13,640
It isn’t.

1065
00:57:13,640 –> 00:57:17,120
It is proof the design still needs people to compensate for its flaws.

1066
00:57:17,120 –> 00:57:20,320
Success is not that your best people can carry a weak system.

1067
00:57:20,320 –> 00:57:23,760
Success is that the system no longer depends on heroics to remain functional.

1068
00:57:23,760 –> 00:57:28,360
It is when transformation starts becoming durable and only then can you measure if the redesign

1069
00:57:28,360 –> 00:57:29,840
is actually working.

1070
00:57:29,840 –> 00:57:32,520
The business metrics that prove redesign is working.

1071
00:57:32,520 –> 00:57:36,280
Now we come to the part that executives usually ask for first even though it only starts

1072
00:57:36,280 –> 00:57:39,440
to become useful once the actual redesign work is underway.

1073
00:57:39,440 –> 00:57:42,600
They want to know how we can tell if any of this is actually working and the answer is

1074
00:57:42,600 –> 00:57:45,800
that we don’t prove a redesign through adoption numbers alone.

1075
00:57:45,800 –> 00:57:49,640
Instead we prove it through business movement which means our metrics have to show us whether

1076
00:57:49,640 –> 00:57:54,920
authority is clearer, flow is faster, friction is lower and control is more executable in

1077
00:57:54,920 –> 00:57:55,920
daily work.

1078
00:57:55,920 –> 00:58:00,280
If your dashboard only shows license activations, training attendance or how many people are

1079
00:58:00,280 –> 00:58:05,760
using co-pilot then you are still measuring digital activity rather than structural improvement.

1080
00:58:05,760 –> 00:58:09,440
Those numbers might still matter for your reports but they are weak signals when they stand

1081
00:58:09,440 –> 00:58:13,440
on their own because the system can be highly active and still be badly designed.

1082
00:58:13,440 –> 00:58:17,680
People can message each other all day, share endless files and generate AI output at a

1083
00:58:17,680 –> 00:58:22,000
massive scale while the real business still feels heavy, political and slow.

1084
00:58:22,000 –> 00:58:26,120
The first metric I actually care about is decision latency which measures how long it takes

1085
00:58:26,120 –> 00:58:30,080
for a decision to move from an initial request to an accountable action.

1086
00:58:30,080 –> 00:58:33,880
We aren’t looking at the time between meetings or how long it takes to move from one slide

1087
00:58:33,880 –> 00:58:37,960
to another but the actual gap between the request and the work starting.

1088
00:58:37,960 –> 00:58:42,320
If authority, access and escalation are better aligned in your new system that number should

1089
00:58:42,320 –> 00:58:43,720
start to fall immediately.

1090
00:58:43,720 –> 00:58:48,240
The second metric to watch is cycle time, specifically how long the full workflow takes now compared

1091
00:58:48,240 –> 00:58:50,440
to how it functioned before the redesign.

1092
00:58:50,440 –> 00:58:54,920
This matters because a better decision architecture should naturally reduce the time spent waiting

1093
00:58:54,920 –> 00:58:58,360
for handoffs or sitting in a queue across the whole value stream.

1094
00:58:58,360 –> 00:59:02,680
After that I look at rework which tracks how often a task has to be redone because ownership

1095
00:59:02,680 –> 00:59:05,480
was unclear or the wrong people acted on it.

1096
00:59:05,480 –> 00:59:08,840
Re-work is one of the clearest signs you can find that your authority model is still fuzzy

1097
00:59:08,840 –> 00:59:09,840
and needs more work.

1098
00:59:09,840 –> 00:59:13,680
Now we can map those results to governance where a successful redesign should see policy

1099
00:59:13,680 –> 00:59:17,080
adherence go up while the friction of following those policies goes down.

1100
00:59:17,080 –> 00:59:21,280
That specific combination is what matters most because high adherence with high friction

1101
00:59:21,280 –> 00:59:24,840
usually means your people are only complying under extreme strain.

1102
00:59:24,840 –> 00:59:28,760
On the other hand, lower friction with lower adherence means your control is weakening

1103
00:59:28,760 –> 00:59:33,480
but seeing both improved together tells you the guardrails are finally becoming usable.

1104
00:59:33,480 –> 00:59:38,480
Then we have the reduction of shadow IT which I don’t view as a moral signal but as a structural

1105
00:59:38,480 –> 00:59:39,480
one.

1106
00:59:39,480 –> 00:59:43,360
If fewer people need side files, private workarounds or informal exception parts to get their

1107
00:59:43,360 –> 00:59:46,560
normal work done then the redesign is doing its job.

1108
00:59:46,560 –> 00:59:50,920
When shadow behavior drops it means the official root is finally becoming more viable than

1109
00:59:50,920 –> 00:59:54,760
the workaround and that is a strong sign that governance and operating reality are matching

1110
00:59:54,760 –> 00:59:55,760
up.

1111
00:59:55,760 –> 00:59:59,440
I also make sure to track leading indicators because waiting for lagging outcomes like financial

1112
00:59:59,440 –> 01:00:02,080
results is simply too slow for an active project.

1113
01:00:02,080 –> 01:00:05,640
You should be asking how many approvals are currently in the path, how many exceptions

1114
01:00:05,640 –> 01:00:09,960
require manual intervention and how often work stalls because nobody knows who owns

1115
01:00:09,960 –> 01:00:11,560
the next step.

1116
01:00:11,560 –> 01:00:15,440
Getting how many production assets have named owners with reviewable accountability gives

1117
01:00:15,440 –> 01:00:19,880
you an early structural signal that tells you if the redesign is reducing dependency.

1118
01:00:19,880 –> 01:00:24,360
Eventually we do want to see the lagging indicators like faster speed to value, fewer duplicate

1119
01:00:24,360 –> 01:00:28,320
tools and better AI utilization in the workflows that actually matter.

1120
01:00:28,320 –> 01:00:29,600
But here is the discipline.

1121
01:00:29,600 –> 01:00:33,560
Those lagging results should sit on top of structural indicators rather than replacing

1122
01:00:33,560 –> 01:00:34,560
them entirely.

1123
01:00:34,560 –> 01:00:38,800
Otherwise, leaders end up funding weak designs just because the surface numbers look healthy

1124
01:00:38,800 –> 01:00:39,800
on a slide.

1125
01:00:39,800 –> 01:00:44,160
In a monthly review I want executives asking very plain questions about what got faster,

1126
01:00:44,160 –> 01:00:48,320
what got clearer and what stopped depending on heroic intervention from managers.

1127
01:00:48,320 –> 01:00:52,240
They should be looking for where exception volume fell and where policy adherence is improving

1128
01:00:52,240 –> 01:00:55,640
because the path is better, not because the enforcement got louder.

1129
01:00:55,640 –> 01:00:59,840
Those are the questions of a power architect and they test whether the operating model is

1130
01:00:59,840 –> 01:01:03,520
becoming more executable rather than just more digital.

1131
01:01:03,520 –> 01:01:06,320
Why adoption metrics alone mislead leadership?

1132
01:01:06,320 –> 01:01:10,440
This is exactly why adoption metrics can mislead leadership if they are the only thing being

1133
01:01:10,440 –> 01:01:11,440
measured.

1134
01:01:11,440 –> 01:01:15,340
Activity is not the same thing as structural movement and a dashboard can look perfectly

1135
01:01:15,340 –> 01:01:19,000
healthy while the business still feels heavy and difficult to navigate.

1136
01:01:19,000 –> 01:01:22,680
Teams usage might go up and more workflows might be published but that doesn’t mean the

1137
01:01:22,680 –> 01:01:25,480
organization has actually changed how it functions.

1138
01:01:25,480 –> 01:01:29,680
Leadership sees those rising charts and thinks the transformation is landing but the organization

1139
01:01:29,680 –> 01:01:33,880
might just be more digitally active inside the same old constraints.

1140
01:01:33,880 –> 01:01:37,560
Each data tells you that people touch the tool but it doesn’t tell you if authority moved

1141
01:01:37,560 –> 01:01:39,280
or if decisions got any faster.

1142
01:01:39,280 –> 01:01:43,720
This is the trap where high usage coexist with low transformation and that combination is

1143
01:01:43,720 –> 01:01:46,000
more common than many leaders want to admit.

1144
01:01:46,000 –> 01:01:50,160
You can have active teams channels and still make every important decision in private manager

1145
01:01:50,160 –> 01:01:53,760
conversations just like you can have a share point full of documents and still rely on

1146
01:01:53,760 –> 01:01:56,880
the same three people to explain which version is the right one.

1147
01:01:56,880 –> 01:02:00,920
You can enable co-pilot for everyone and still force every meaningful action through

1148
01:02:00,920 –> 01:02:04,480
the same overloaded approval chain that existed five years ago.

1149
01:02:04,480 –> 01:02:07,720
From a system perspective, activity is not proof of a redesign.

1150
01:02:07,720 –> 01:02:12,080
It is only proof of contact and contact can be very expensive if you mistake it for progress.

1151
01:02:12,080 –> 01:02:16,200
This clicked for me when I realized how often dashboards become a form of structural reassurance

1152
01:02:16,200 –> 01:02:17,200
for executives.

1153
01:02:17,200 –> 01:02:21,440
They provide a language of momentum without requiring anyone to confront what has actually

1154
01:02:21,440 –> 01:02:23,040
changed underneath the surface.

1155
01:02:23,040 –> 01:02:27,880
If active users are up the story sounds positive and if more automations exist the story sounds

1156
01:02:27,880 –> 01:02:31,600
efficient but the people inside the system may still be carrying the same friction.

1157
01:02:31,600 –> 01:02:35,440
They are still waiting, still escalating and still working around unclear ownership while

1158
01:02:35,440 –> 01:02:40,760
depending on the same trusted individuals to turn digital motion into real execution.

1159
01:02:40,760 –> 01:02:44,400
Adoption metrics create false positives because they reward visible surface behavior which

1160
01:02:44,400 –> 01:02:48,020
is much easier to improve than the deep operating design of a company.

1161
01:02:48,020 –> 01:02:52,360
You can increase logins with a few clever emails or raise license consumption with rollout

1162
01:02:52,360 –> 01:02:56,620
pressure but none of that guarantees the system became more executable.

1163
01:02:56,620 –> 01:03:01,040
The real danger starts when leadership begins funding projects based on those signals alone

1164
01:03:01,040 –> 01:03:04,180
which effectively protects and legitimizes a weak design.

1165
01:03:04,180 –> 01:03:08,060
The dashboard tells executives the environment is improving but what is actually happening

1166
01:03:08,060 –> 01:03:11,900
is that digital activity is just rising on top of unchanged bottlenecks.

1167
01:03:11,900 –> 01:03:15,700
You have probably seen this yourself where a dashboard looks green and the program reports

1168
01:03:15,700 –> 01:03:19,820
progress yet the work still feels incredibly slow.

1169
01:03:19,820 –> 01:03:21,500
The reason for this disconnect is simple.

1170
01:03:21,500 –> 01:03:25,220
The dashboard is measuring participation but the business is experiencing structure.

1171
01:03:25,220 –> 01:03:29,260
I am not saying that adoption metrics are useless because they do work well as secondary

1172
01:03:29,260 –> 01:03:31,940
signals to show if people know the tools exist.

1173
01:03:31,940 –> 01:03:36,340
But they only become meaningful when you pair them with structural indicators like usage

1174
01:03:36,340 –> 01:03:39,540
plus lower decision latency or training plus fewer escalations.

1175
01:03:39,540 –> 01:03:42,940
That combination is what starts to tell the truth about your organization.

1176
01:03:42,940 –> 01:03:47,900
Without it leaders end up mistaking movement for progress and while movement is easy to manufacture,

1177
01:03:47,900 –> 01:03:50,100
real progress is much harder to achieve.

1178
01:03:50,100 –> 01:03:54,100
Progress means the system can now produce better outcomes with less friction and more clarity

1179
01:03:54,100 –> 01:03:55,500
than it ever could before.

1180
01:03:55,500 –> 01:03:59,420
If your transformation dashboard cannot tell you if authority got clearer or if bottlenecks

1181
01:03:59,420 –> 01:04:02,580
got smaller, then it isn’t measuring transformation.

1182
01:04:02,580 –> 01:04:05,100
It is just measuring digital motion.

1183
01:04:05,100 –> 01:04:07,420
A practical redesign sequence for leaders.

1184
01:04:07,420 –> 01:04:10,500
So if you are a leader listening to this and thinking fine but where do I start?

1185
01:04:10,500 –> 01:04:12,260
Here is the sequence I’d use.

1186
01:04:12,260 –> 01:04:13,260
Not enterprise-wide first.

1187
01:04:13,260 –> 01:04:15,020
That’s where many programs go wrong.

1188
01:04:15,020 –> 01:04:18,860
They see a structural problem and immediately respond with a transformation scope so broad

1189
01:04:18,860 –> 01:04:21,140
that nobody can redesign anything with precision.

1190
01:04:21,140 –> 01:04:25,700
The result is theater again featuring bigger slides and more stakeholders but significantly

1191
01:04:25,700 –> 01:04:26,700
less movement.

1192
01:04:26,700 –> 01:04:28,220
Start with one value stream.

1193
01:04:28,220 –> 01:04:29,220
One.

1194
01:04:29,220 –> 01:04:31,300
Pick a workflow that matters commercially or operationally.

1195
01:04:31,300 –> 01:04:35,180
You need something visible enough that people care but bounded enough that you can actually

1196
01:04:35,180 –> 01:04:36,980
observe how work moves.

1197
01:04:36,980 –> 01:04:41,260
Sales approvals, contract reviews, customer onboarding or employee lifecycle requests are all

1198
01:04:41,260 –> 01:04:42,500
great candidates.

1199
01:04:42,500 –> 01:04:46,700
Just pick something real like knowledge publishing where the friction is easy to spot.

1200
01:04:46,700 –> 01:04:48,020
And why start there?

1201
01:04:48,020 –> 01:04:51,740
This power architecture only becomes useful when it is attached to lived work.

1202
01:04:51,740 –> 01:04:55,420
If you begin at the enterprise abstraction layer everything sounds important and nothing

1203
01:04:55,420 –> 01:04:56,420
gets redesigned.

1204
01:04:56,420 –> 01:05:00,180
But if you begin with one value stream the system reveals itself very fast.

1205
01:05:00,180 –> 01:05:03,100
Now once you’ve chosen that stream map four things.

1206
01:05:03,100 –> 01:05:04,100
Decisions.

1207
01:05:04,100 –> 01:05:05,620
Dependencies.

1208
01:05:05,620 –> 01:05:06,620
Ownership.

1209
01:05:06,620 –> 01:05:07,620
Access.

1210
01:05:07,620 –> 01:05:08,620
Not in theory.

1211
01:05:08,620 –> 01:05:09,620
In practice.

1212
01:05:09,620 –> 01:05:10,620
Where does work enter?

1213
01:05:10,620 –> 01:05:11,620
Who touches it?

1214
01:05:11,620 –> 01:05:12,620
Where does it pause?

1215
01:05:12,620 –> 01:05:13,620
Who can say yes?

1216
01:05:13,620 –> 01:05:14,620
Who can say no?

1217
01:05:14,620 –> 01:05:15,620
Who has to interpret ambiguity?

1218
01:05:15,620 –> 01:05:16,620
Who is formally accountable?

1219
01:05:16,620 –> 01:05:19,340
Who actually carries the burden when something goes wrong?

1220
01:05:19,340 –> 01:05:21,620
And who still lacks the access needed to act?

1221
01:05:21,620 –> 01:05:25,740
That map will usually tell you more in two weeks than months of generic transformation planning.

1222
01:05:25,740 –> 01:05:28,540
Then comes the part most leaders try to skip.

1223
01:05:28,540 –> 01:05:31,380
Re-design approvals roles in escalation before adding more tooling.

1224
01:05:31,380 –> 01:05:32,580
That order matters.

1225
01:05:32,580 –> 01:05:36,780
Because if you add more technology before clarifying who can decide, who can act and what

1226
01:05:36,780 –> 01:05:39,500
should escalate, all you do is speed up confusion.

1227
01:05:39,500 –> 01:05:43,820
You digitize handoffs that never should have existed, which means you automate ambiguity

1228
01:05:43,820 –> 01:05:45,900
and make weak ownership travel faster.

1229
01:05:45,900 –> 01:05:50,420
So clean the path first, reduce approvals where the decision is reversible.

1230
01:05:50,420 –> 01:05:53,060
Clarify accountability where ownership is fuzzy.

1231
01:05:53,060 –> 01:05:57,860
Define escalation thresholds where judgment is currently social instead of explicit.

1232
01:05:57,860 –> 01:06:01,300
Match access to the responsibility model you actually want people to carry.

1233
01:06:01,300 –> 01:06:02,700
This is where it gets useful.

1234
01:06:02,700 –> 01:06:06,180
Because once the flow is cleaner, technology choices stop being abstract.

1235
01:06:06,180 –> 01:06:10,460
Now you can see where team supports visible collaboration, where SharePoint needs better

1236
01:06:10,460 –> 01:06:14,340
ownership structure, and where Power Platform can remove manual friction.

1237
01:06:14,340 –> 01:06:19,460
And then you can then help with synthesis, drafting and search without pretending to replace judgment.

1238
01:06:19,460 –> 01:06:24,580
Tooling becomes the amplifier of a better design, not the mask for a broken one.

1239
01:06:24,580 –> 01:06:28,100
Then instrument the redesign with business metrics, not vanity metrics.

1240
01:06:28,100 –> 01:06:29,540
Track decision latency.

1241
01:06:29,540 –> 01:06:30,540
Track cycle time.

1242
01:06:30,540 –> 01:06:31,540
Track rework.

1243
01:06:31,540 –> 01:06:32,540
Track exception volume.

1244
01:06:32,540 –> 01:06:33,540
Track escalation patterns.

1245
01:06:33,540 –> 01:06:34,540
Track shadow workarounds.

1246
01:06:34,540 –> 01:06:38,220
Track policy adherence where the path was previously too painful to follow.

1247
01:06:38,220 –> 01:06:39,580
This gives you an honest signal.

1248
01:06:39,580 –> 01:06:43,380
If the redesign is working, the workflow should feel lighter and prove lighter.

1249
01:06:43,380 –> 01:06:47,260
Toer stalls, fewer private interventions and less dependence on one heroic person will

1250
01:06:47,260 –> 01:06:49,820
show that you have better control with less friction.

1251
01:06:49,820 –> 01:06:51,220
Then and only then expand.

1252
01:06:51,220 –> 01:06:53,820
Take what worked and move to the next adjacent value stream.

1253
01:06:53,820 –> 01:06:58,060
Do not scale a concept that has not yet reduced real operational drag.

1254
01:06:58,060 –> 01:06:59,220
Scale evidence.

1255
01:06:59,220 –> 01:07:00,380
Scale clarity.

1256
01:07:00,380 –> 01:07:03,700
Scale a pattern that already proved it can carry both speed and control.

1257
01:07:03,700 –> 01:07:06,700
This is why phase redesign beats broad transformation theatre.

1258
01:07:06,700 –> 01:07:10,740
A broad transformation announces ambition, a phase redesign builds operating proof, and

1259
01:07:10,740 –> 01:07:12,140
leaders need proof.

1260
01:07:12,140 –> 01:07:13,780
Not because they lack vision.

1261
01:07:13,780 –> 01:07:17,700
Because the organization has already seen too many programs with strong language and

1262
01:07:17,700 –> 01:07:19,140
weak structural consequence.

1263
01:07:19,140 –> 01:07:21,140
So let me make the sequence plain.

1264
01:07:21,140 –> 01:07:22,340
Pick one value stream.

1265
01:07:22,340 –> 01:07:25,100
Map decisions, dependencies, ownership and access.

1266
01:07:25,100 –> 01:07:27,220
Re-design approvals, roles and escalation.

1267
01:07:27,220 –> 01:07:28,220
Instrument business outcomes.

1268
01:07:28,220 –> 01:07:29,220
Then expand.

1269
01:07:29,220 –> 01:07:30,220
That’s it.

1270
01:07:30,220 –> 01:07:31,220
Simple to say.

1271
01:07:31,220 –> 01:07:32,220
Harder to do, but structurally sound.

1272
01:07:32,220 –> 01:07:36,180
And if you follow that order, you stop treating transformation like an awareness campaign

1273
01:07:36,180 –> 01:07:39,300
and start treating it like operating model engineering.

1274
01:07:39,300 –> 01:07:43,660
Which matters even more in Microsoft environments because these platforms expose your structure

1275
01:07:43,660 –> 01:07:44,980
very quickly.

1276
01:07:44,980 –> 01:07:49,100
Why this matters specifically in M365 power platform and co-pilot?

1277
01:07:49,100 –> 01:07:53,460
And this matters even more in Microsoft environments because these platforms are brutally honest.

1278
01:07:53,460 –> 01:07:55,620
They surface the structure you already have.

1279
01:07:55,620 –> 01:07:57,540
They do not politely hide weak ownership.

1280
01:07:57,540 –> 01:07:59,180
They do not hide unclear access.

1281
01:07:59,180 –> 01:08:01,740
They do not hide bad information architecture.

1282
01:08:01,740 –> 01:08:05,700
And they definitely do not hide decision ambiguity once AI enters the picture.

1283
01:08:05,700 –> 01:08:08,780
That is why I keep saying M365 is not just a tool stack.

1284
01:08:08,780 –> 01:08:10,260
It is an operating surface.

1285
01:08:10,260 –> 01:08:13,380
Teams shows you how collaboration is actually designed.

1286
01:08:13,380 –> 01:08:17,180
Not what the leadership memo says, not what the org chart implies, how collaboration actually

1287
01:08:17,180 –> 01:08:18,180
works.

1288
01:08:18,180 –> 01:08:19,180
Who starts conversations?

1289
01:08:19,180 –> 01:08:20,420
Who gets pulled in late?

1290
01:08:20,420 –> 01:08:21,940
Who can move a decision in channel?

1291
01:08:21,940 –> 01:08:23,700
Who still takes the real call offline?

1292
01:08:23,700 –> 01:08:24,700
Who is visible?

1293
01:08:24,700 –> 01:08:25,700
Who is excluded?

1294
01:08:25,700 –> 01:08:28,460
Who keeps work moving through side messages?

1295
01:08:28,460 –> 01:08:32,060
Because the formal space is too noisy, too political or too unclear.

1296
01:08:32,060 –> 01:08:33,740
That is not a communications issue first.

1297
01:08:33,740 –> 01:08:34,940
It is a structural one.

1298
01:08:34,940 –> 01:08:37,300
Now take SharePoint.

1299
01:08:37,300 –> 01:08:40,340
SharePoint reveals ownership design very quickly.

1300
01:08:40,340 –> 01:08:45,020
If information architecture is weak, if side ownership is nominal, if life cycle decisions

1301
01:08:45,020 –> 01:08:49,280
are vague, if naming and content patterns reflect migration history instead of business

1302
01:08:49,280 –> 01:08:51,660
logic, SharePoint does not solve that.

1303
01:08:51,660 –> 01:08:53,100
It scales it.

1304
01:08:53,100 –> 01:08:56,780
And once scaled, every downstream capability starts paying the price.

1305
01:08:56,780 –> 01:08:58,100
Search gets worse.

1306
01:08:58,100 –> 01:09:02,860
Trust drops, duplicate content rises, and the people inside the system go back to asking

1307
01:09:02,860 –> 01:09:07,020
each other whether real file is, who owns it, and whether the document is current enough

1308
01:09:07,020 –> 01:09:08,620
to act on.

1309
01:09:08,620 –> 01:09:11,380
That is a power problem disguised as a content problem.

1310
01:09:11,380 –> 01:09:14,940
Because if nobody clearly owns the truth, then informal power takes over.

1311
01:09:14,940 –> 01:09:16,780
The trusted expert becomes the search engine.

1312
01:09:16,780 –> 01:09:19,580
The long tenured operator becomes the quality filter.

1313
01:09:19,580 –> 01:09:22,420
The person with context becomes the real gateway to action.

1314
01:09:22,420 –> 01:09:24,180
Now map that to power platform.

1315
01:09:24,180 –> 01:09:26,420
Power platform reveals governance design.

1316
01:09:26,420 –> 01:09:30,100
This is where a lot of organizations get a very sharp lesson very fast.

1317
01:09:30,100 –> 01:09:31,900
Because low-code feels like freedom at first.

1318
01:09:31,900 –> 01:09:34,780
When people can build, teams can solve local problems.

1319
01:09:34,780 –> 01:09:37,500
Manual work starts disappearing, energy rises.

1320
01:09:37,500 –> 01:09:38,620
And that is good.

1321
01:09:38,620 –> 01:09:43,020
But if the surrounding structure is weak, then power platform starts exposing it immediately.

1322
01:09:43,020 –> 01:09:44,100
Who is allowed to build?

1323
01:09:44,100 –> 01:09:45,540
Who approves connectors?

1324
01:09:45,540 –> 01:09:47,100
Who owns production risk?

1325
01:09:47,100 –> 01:09:49,580
Who supports a workflow after the maker leaves?

1326
01:09:49,580 –> 01:09:53,500
Who decides whether an app is local productivity or enterprise dependency?

1327
01:09:53,500 –> 01:09:57,740
Who carries accountability when a useful automation becomes business critical without anybody

1328
01:09:57,740 –> 01:10:00,580
formally redesigning the responsibility around it?

1329
01:10:00,580 –> 01:10:03,580
That is where many organizations realize they do not have a tooling issue.

1330
01:10:03,580 –> 01:10:05,100
They have an operating model issue.

1331
01:10:05,100 –> 01:10:06,900
The system allowed local innovation.

1332
01:10:06,900 –> 01:10:11,700
But it never defined how local innovation becomes govern capability without creating fear,

1333
01:10:11,700 –> 01:10:13,500
delay or shadow ownership.

1334
01:10:13,500 –> 01:10:14,700
And then there is co-pilot.

1335
01:10:14,700 –> 01:10:16,540
Co-pilot is the sharpest mirror of all.

1336
01:10:16,540 –> 01:10:20,820
Because co-pilot reveals information, quality, permission, hygiene and decision ambiguity

1337
01:10:20,820 –> 01:10:21,820
at scale.

1338
01:10:21,820 –> 01:10:24,420
If your permissions are messy, co-pilot turns that into a trust issue.

1339
01:10:24,420 –> 01:10:29,580
If your content is stale, duplicated or context poor, co-pilot turns that into weak output.

1340
01:10:29,580 –> 01:10:33,940
If your ownership model is vague, co-pilot turns that into accountability confusion.

1341
01:10:33,940 –> 01:10:38,940
And if your decisions already depend on hidden experts and unofficial interpretation, co-pilot

1342
01:10:38,940 –> 01:10:40,540
does not remove that dependence.

1343
01:10:40,540 –> 01:10:41,940
It makes it more visible.

1344
01:10:41,940 –> 01:10:43,540
That is the shortcut nobody teaches.

1345
01:10:43,540 –> 01:10:46,540
AI does not mainly reward digital maturity theatre.

1346
01:10:46,540 –> 01:10:48,380
It rewards structural clarity.

1347
01:10:48,380 –> 01:10:52,420
The Microsoft ecosystem is incredibly powerful when authority, ownership, access and governance

1348
01:10:52,420 –> 01:10:53,420
are aligned.

1349
01:10:53,420 –> 01:10:56,740
But it is equally effective at punishing ambiguity.

1350
01:10:56,740 –> 01:11:01,340
Because these platforms connect people, content, workflow and AI in one operating environment.

1351
01:11:01,340 –> 01:11:04,460
So weak design in one layer spreads quickly into the others.

1352
01:11:04,460 –> 01:11:06,140
Bad side ownership effects search.

1353
01:11:06,140 –> 01:11:07,980
Bad search effects co-pilot value.

1354
01:11:07,980 –> 01:11:10,020
Weak decision rights affect automation.

1355
01:11:10,020 –> 01:11:12,860
Weak automation increases manual exceptions.

1356
01:11:12,860 –> 01:11:15,820
Manual exceptions drive side channels, side channels weaken governance.

1357
01:11:15,820 –> 01:11:19,580
And leadership wonders why the stack feels expensive without feeling lighter.

1358
01:11:19,580 –> 01:11:20,580
The reason is simple.

1359
01:11:20,580 –> 01:11:23,100
The platform is reflecting the business reality underneath it.

1360
01:11:23,100 –> 01:11:24,820
And this is where it becomes relevant for leaders.

1361
01:11:24,820 –> 01:11:30,140
If you want M365 power platform and co-pilot to create leverage, you cannot treat them

1362
01:11:30,140 –> 01:11:31,780
as isolated deployments.

1363
01:11:31,780 –> 01:11:33,780
You have to treat them as structural tests.

1364
01:11:33,780 –> 01:11:38,420
They are showing you where ownership is fake, where access is misaligned, where governance

1365
01:11:38,420 –> 01:11:43,020
is performative, where decision paths are too heavy, where hidden experts are carrying

1366
01:11:43,020 –> 01:11:44,140
too much of the load.

1367
01:11:44,140 –> 01:11:45,860
That visibility is uncomfortable.

1368
01:11:45,860 –> 01:11:47,300
But it is useful.

1369
01:11:47,300 –> 01:11:50,580
Because once you see it, you can stop asking whether the platform is working and start

1370
01:11:50,580 –> 01:11:53,900
asking whether the organization is designed to let the platform work.

1371
01:11:53,900 –> 01:11:55,420
Which brings us back to leadership.

1372
01:11:55,420 –> 01:11:57,380
The leadership shift this requires.

1373
01:11:57,380 –> 01:11:59,580
This brings us back to the core of leadership.

1374
01:11:59,580 –> 01:12:04,020
Once you start viewing Microsoft platforms as structural tests for your business, leadership

1375
01:12:04,020 –> 01:12:07,300
can no longer exist only at the level of high level sponsorship.

1376
01:12:07,300 –> 01:12:11,620
The shift we’re talking about is fundamental because leaders have to move past, simply saying

1377
01:12:11,620 –> 01:12:15,820
they support a change and start asking where authority needs to move so the work can

1378
01:12:15,820 –> 01:12:16,820
actually happen.

1379
01:12:16,820 –> 01:12:19,980
While that might sound like a small distinction, it really isn’t.

1380
01:12:19,980 –> 01:12:23,820
Support language is mostly symbolic, but design language is operational.

1381
01:12:23,820 –> 01:12:27,620
It says we believe in collaboration and AI, but design asks which decisions should move

1382
01:12:27,620 –> 01:12:31,020
closer to the edge and which approvals should disappear entirely.

1383
01:12:31,020 –> 01:12:34,540
It looks for the role’s carrying accountability without any real access and identifies the

1384
01:12:34,540 –> 01:12:38,140
managers who are still functioning as manual rooting layers for information.

1385
01:12:38,140 –> 01:12:42,460
This is a different kind of leadership that is less ceremonial and much more architectural.

1386
01:12:42,460 –> 01:12:46,700
The reason this matters is that the old model allowed leaders to stay comfortably above

1387
01:12:46,700 –> 01:12:47,700
the system.

1388
01:12:47,700 –> 01:12:51,900
They could sponsor projects, review dashboards and expect adoption without ever having

1389
01:12:51,900 –> 01:12:53,620
to redesign the bottlenecks.

1390
01:12:53,620 –> 01:12:55,660
They personally sit inside.

1391
01:12:55,660 –> 01:12:58,460
Redesigning those bottlenecks is usually the hardest part of the job.

1392
01:12:58,460 –> 01:13:02,940
If you look closely at most organizations, you’ll find that leadership teams aren’t outside

1393
01:13:02,940 –> 01:13:07,140
the problem, but are actually part of the power architecture the company has learned to

1394
01:13:07,140 –> 01:13:08,140
work around.

1395
01:13:08,140 –> 01:13:11,540
You see it in the weekly committee that slows down obvious decisions or the senior sign

1396
01:13:11,540 –> 01:13:13,540
of that nobody has questioned in years.

1397
01:13:13,540 –> 01:13:16,780
These aren’t just culture issues, they are leadership design issues.

1398
01:13:16,780 –> 01:13:20,580
The shift starts with one uncomfortable move where leaders stop asking who is resisting

1399
01:13:20,580 –> 01:13:23,020
and start asking what the system is trying to protect.

1400
01:13:23,020 –> 01:13:26,660
But single question changes the conversation immediately because resistance usually looks

1401
01:13:26,660 –> 01:13:28,300
personal from a distance.

1402
01:13:28,300 –> 01:13:32,340
People might seem slow or territorial, but if you trace that behavior structurally, you

1403
01:13:32,340 –> 01:13:36,220
often find the system is just protecting status or legacy approval rights.

1404
01:13:36,220 –> 01:13:41,060
It’s a system outcome, which means leadership has to become curious about its own design footprint.

1405
01:13:41,060 –> 01:13:44,940
You have to ask where you are creating latency by staying in decisions too long or where you

1406
01:13:44,940 –> 01:13:50,460
are demanding accountability without moving the necessary authority and incentives to match.

1407
01:13:50,460 –> 01:13:54,660
But last point is critical because leaders often say they want ownership at the edge while

1408
01:13:54,660 –> 01:13:58,100
the incentive design still rewards caution and political safety.

1409
01:13:58,100 –> 01:14:01,940
When the design still punishes distributed judgment, the people inside the system will

1410
01:14:01,940 –> 01:14:04,940
always do the rational thing to protect themselves.

1411
01:14:04,940 –> 01:14:09,100
They wait, they escalate, and they involve more people than necessary to avoid acting at

1412
01:14:09,100 –> 01:14:10,860
the level leaders claim to want.

1413
01:14:10,860 –> 01:14:15,220
This shift isn’t about being more inspirational, it’s about being much more explicit about

1414
01:14:15,220 –> 01:14:17,180
decision rights and thresholds.

1415
01:14:17,180 –> 01:14:21,260
Political leadership is about being clear rather than being heroic or charismatic.

1416
01:14:21,260 –> 01:14:25,340
It states that if the work happens in a specific place, then the authority has to move there

1417
01:14:25,340 –> 01:14:28,420
too unless the risk truly justifies a different path.

1418
01:14:28,420 –> 01:14:32,620
If that risk is real, then the escalation path must be designed to be fast and legible,

1419
01:14:32,620 –> 01:14:35,460
rather than mysterious or based on personal relationships.

1420
01:14:35,460 –> 01:14:39,980
This is especially important in Microsoft environments because platform speed exposes leadership

1421
01:14:39,980 –> 01:14:41,260
ambiguity very quickly.

1422
01:14:41,260 –> 01:14:45,380
If you haven’t clarified ownership and decision boundaries, these tools won’t create confidence,

1423
01:14:45,380 –> 01:14:47,940
they will only make the existing confusion more visible.

1424
01:14:47,940 –> 01:14:52,300
The real upgrade is moving from a sponsor of change to a designer of conditions.

1425
01:14:52,300 –> 01:14:56,540
Once leadership makes that move, the organization stops hearing about transformation as an extra

1426
01:14:56,540 –> 01:14:59,100
demand, layered on top of their daily pressure.

1427
01:14:59,100 –> 01:15:03,100
They start experiencing it as a better way to work and that is exactly when change becomes

1428
01:15:03,100 –> 01:15:04,100
believable.

1429
01:15:04,100 –> 01:15:06,900
It doesn’t happen when leaders speak louder, it happens when the system finally makes

1430
01:15:06,900 –> 01:15:09,580
the right behavior easier than the old one.

1431
01:15:09,580 –> 01:15:12,220
What failure looks like when nobody owns power flow?

1432
01:15:12,220 –> 01:15:16,180
If leadership fails to make that shift, the pattern of failure isn’t a mystery, it becomes

1433
01:15:16,180 –> 01:15:17,700
completely predictable.

1434
01:15:17,700 –> 01:15:22,220
It isn’t dramatic at first, but the organization starts to feel heavy, even while it looks digitally

1435
01:15:22,220 –> 01:15:23,220
busy.

1436
01:15:23,220 –> 01:15:27,300
New tools are live and more meetings exist to govern the change, yet underneath it all,

1437
01:15:27,300 –> 01:15:29,940
the same old physics of the company remain.

1438
01:15:29,940 –> 01:15:33,900
Decisions still collect around the same few people, while teams wait for interpretive approval

1439
01:15:33,900 –> 01:15:35,180
on every move.

1440
01:15:35,180 –> 01:15:39,100
When the official route is really the real route, you aren’t looking at a sudden collapse,

1441
01:15:39,100 –> 01:15:40,980
but a slow normalization of friction.

1442
01:15:40,980 –> 01:15:44,140
This is what failure looks like when nobody takes ownership of how power flows through the

1443
01:15:44,140 –> 01:15:45,140
digital stack.

1444
01:15:45,140 –> 01:15:48,740
People begin to suffer from transformation fatigue, not because they hate change, but because

1445
01:15:48,740 –> 01:15:52,780
they feel each new layer asking more of them without removing any of the old weight.

1446
01:15:52,780 –> 01:15:56,860
A new workflow arrives, but the old approvals stay in place, or AI gets introduced without

1447
01:15:56,860 –> 01:16:01,060
anyone clarifying who is actually accountable when that output moves into a real business

1448
01:16:01,060 –> 01:16:02,060
action.

1449
01:16:02,060 –> 01:16:05,580
As the coordination load rises, people experience the transformation as additional traffic

1450
01:16:05,580 –> 01:16:08,020
inside an unchanged road system.

1451
01:16:08,020 –> 01:16:12,220
And starts dropping in leadership judgment because the people closest to the work can tell

1452
01:16:12,220 –> 01:16:15,980
when a transformation isn’t actually changing the conditions of execution.

1453
01:16:15,980 –> 01:16:20,380
They know what it feels like when every move still depends on legacy authority or overloaded

1454
01:16:20,380 –> 01:16:21,540
decision makers.

1455
01:16:21,540 –> 01:16:25,180
The investment pattern usually gets worse at this stage as the company buys more licenses

1456
01:16:25,180 –> 01:16:27,580
and launches more pilots to fix the problem.

1457
01:16:27,580 –> 01:16:31,860
You end up with wasted investment on top of structural waste, where the tech stack grows,

1458
01:16:31,860 –> 01:16:33,860
but the resilience of the business does not.

1459
01:16:33,860 –> 01:16:37,900
Leaders often misread these signals and conclude they just need more adoption effort, or

1460
01:16:37,900 –> 01:16:39,340
more governance language.

1461
01:16:39,340 –> 01:16:45,060
The reality is that when power flow is broken, scale only serves to multiply your inconsistencies.

1462
01:16:45,060 –> 01:16:48,780
One team might use SharePoint while another makes decisions inside channels, and a third

1463
01:16:48,780 –> 01:16:52,260
might automate locally without ever stabilizing the ownership model.

1464
01:16:52,260 –> 01:16:55,860
Because nobody can scale what only works through local memory and heroics.

1465
01:16:55,860 –> 01:16:59,060
Every local workaround becomes its own mini operating model.

1466
01:16:59,060 –> 01:17:02,860
That fragmentation is incredibly expensive because support becomes harder, and governance

1467
01:17:02,860 –> 01:17:06,340
becomes weaker as standards are selectively bypassed.

1468
01:17:06,340 –> 01:17:10,780
AI initiatives are especially revealing in this environment because AI depends on clarity

1469
01:17:10,780 –> 01:17:12,820
more than most people want to admit.

1470
01:17:12,820 –> 01:17:16,340
Without clear ownership and permissions, AI doesn’t become leverage.

1471
01:17:16,340 –> 01:17:18,620
It becomes a form of exposure for the business.

1472
01:17:18,620 –> 01:17:23,220
It exposes bad content hygiene and decision ambiguity at machine speed, which is why so many

1473
01:17:23,220 –> 01:17:26,740
AI projects stall after the initial demo energy fades away.

1474
01:17:26,740 –> 01:17:30,620
The tool worked perfectly, but the surrounding system was never designed to handle it.

1475
01:17:30,620 –> 01:17:35,220
If no one is designing how power moves, the organization will simply self-design around

1476
01:17:35,220 –> 01:17:37,980
fear, urgency and internal politics.

1477
01:17:37,980 –> 01:17:42,180
Self-design systems are rarely resilient because they only optimize for survival in the moment

1478
01:17:42,180 –> 01:17:43,780
rather than for clarity or scale.

1479
01:17:43,780 –> 01:17:47,740
The final failure isn’t just the wasted technology spend, it’s a business that becomes

1480
01:17:47,740 –> 01:17:51,260
harder to run while looking more modern from the outside.

1481
01:17:51,260 –> 01:17:56,780
You become more digital, but less coherent, and more connected, but less able to execute.

1482
01:17:56,780 –> 01:18:00,100
Once you see that cost clearly, the question is no longer about whether your transformation

1483
01:18:00,100 –> 01:18:02,580
needs more energy or a bigger budget.

1484
01:18:02,580 –> 01:18:04,540
The real question is much sharper.

1485
01:18:04,540 –> 01:18:08,540
Through in your organization is actually designing the way power moves through the work.

1486
01:18:08,540 –> 01:18:12,700
If you audited your power flow the same way you audited your infrastructure, would you find

1487
01:18:12,700 –> 01:18:16,980
a system designed to sustain your growth, or one that is slowly draining your capacity

1488
01:18:16,980 –> 01:18:19,420
over time.

1489
01:18:19,420 –> 01:18:20,420
Implementation payoff.

1490
01:18:20,420 –> 01:18:22,260
Adopt the power architect mindset.

1491
01:18:22,260 –> 01:18:25,900
The real payoff here isn’t about landing a fancy new title, it’s about gaining a new

1492
01:18:25,900 –> 01:18:26,900
lens.

1493
01:18:26,900 –> 01:18:30,380
When you adopt the power architect mindset, it fundamentally changes what you look at first

1494
01:18:30,380 –> 01:18:31,780
when you walk into a room.

1495
01:18:31,780 –> 01:18:35,780
Instead of asking if a project is hitting its milestones on a gant chart, you start asking

1496
01:18:35,780 –> 01:18:38,900
if the power is actually on the right path to deliver results.

1497
01:18:38,900 –> 01:18:42,860
You stop worrying about whether users click the buttons in a new tool and start asking if

1498
01:18:42,860 –> 01:18:47,900
the decisions, ownership and access were redesigned enough for that tool to actually matter.

1499
01:18:47,900 –> 01:18:49,300
That is the shift we are looking for.

1500
01:18:49,300 –> 01:18:52,940
If you want to apply this thinking this week, don’t start by opening your transformation

1501
01:18:52,940 –> 01:18:56,180
program status deck or looking at high-level slideware.

1502
01:18:56,180 –> 01:19:01,180
Pick one live workflow and audit it through the lens of how power actually flows from person

1503
01:19:01,180 –> 01:19:02,180
to person.

1504
01:19:02,180 –> 01:19:04,980
You only need to ask four questions to see the truth of the system.

1505
01:19:04,980 –> 01:19:06,500
Who is the one who actually decides?

1506
01:19:06,500 –> 01:19:07,900
Who owns the data at the end of the day?

1507
01:19:07,900 –> 01:19:10,620
Who has the specific access required to take action?

1508
01:19:10,620 –> 01:19:13,580
Where does the work actually stall out and sit waiting?

1509
01:19:13,580 –> 01:19:17,500
Running that small audit changes the conversation immediately because it moves you away from reporting

1510
01:19:17,500 –> 01:19:19,900
theatre and into the operating truth of the business.

1511
01:19:19,900 –> 01:19:23,460
Once you see that truth, your job is to name the missing structural responsibility, even

1512
01:19:23,460 –> 01:19:26,580
if that role doesn’t officially exist on the HR org chart yet.

1513
01:19:26,580 –> 01:19:30,860
Maybe that responsibility is currently split between operations, IT and a business architect,

1514
01:19:30,860 –> 01:19:32,540
you need to name it anyway.

1515
01:19:32,540 –> 01:19:34,940
Unknown power design never stays empty for long.

1516
01:19:34,940 –> 01:19:40,060
And if you don’t define it, it gets filled by old habits, sudden urgency and informal influence.

1517
01:19:40,060 –> 01:19:45,340
That is exactly how most digital transformations drift back into their old broken shapes.

1518
01:19:45,340 –> 01:19:49,140
The immediate move for implementation isn’t to launch a massive redesign office with a huge

1519
01:19:49,140 –> 01:19:50,140
budget.

1520
01:19:50,140 –> 01:19:53,420
It is simply to make the missing responsibility visible to everyone involved.

1521
01:19:53,420 –> 01:19:57,780
Who is truly accountable for mapping the decision flow, aligning access with accountability

1522
01:19:57,780 –> 01:20:00,980
and removing the dependency on hidden bottlenecks?

1523
01:20:00,980 –> 01:20:04,620
If the answer to that question is “no one”, then you have finally found the gap that’s

1524
01:20:04,620 –> 01:20:05,820
been holding you back.

1525
01:20:05,820 –> 01:20:10,300
Once that gap is visible, you have to start small by redesigning one single decision system

1526
01:20:10,300 –> 01:20:12,700
before you try to scale your platform ambition.

1527
01:20:12,700 –> 01:20:13,860
Just one.

1528
01:20:13,860 –> 01:20:17,340
Pick something that is meaningful enough to matter to the business but contain enough that

1529
01:20:17,340 –> 01:20:18,340
you can actually change it.

1530
01:20:18,340 –> 01:20:22,620
Then, apply the principles we’ve discussed by mapping the real power, aligning access with

1531
01:20:22,620 –> 01:20:25,500
responsibility and designing a clean decision flow.

1532
01:20:25,500 –> 01:20:29,040
When you remove those hidden bottlenecks and measure business movement instead of just

1533
01:20:29,040 –> 01:20:32,780
digital activity, you get something most transformations never produced.

1534
01:20:32,780 –> 01:20:33,780
You get real proof.

1535
01:20:33,780 –> 01:20:37,700
This is the proof that when power and platform finally align, the environment starts behaving

1536
01:20:37,700 –> 01:20:39,660
differently without you having to force it.

1537
01:20:39,660 –> 01:20:44,140
M365 becomes true leverage because the collaboration parts are finally clear and the power

1538
01:20:44,140 –> 01:20:47,780
platform becomes safer because ownership is actually executable.

1539
01:20:47,780 –> 01:20:51,660
Copilot stops being noise and starts being a signal because the information, quality and

1540
01:20:51,660 –> 01:20:54,620
decision boundaries are finally good enough to support human judgment.

1541
01:20:54,620 –> 01:20:56,180
That is the implementation payoff.

1542
01:20:56,180 –> 01:20:57,820
It isn’t more noise or more features.

1543
01:20:57,820 –> 01:20:59,580
It is structural resilience.

1544
01:20:59,580 –> 01:21:03,340
You end up with a system that moves with less friction because the authority model finally

1545
01:21:03,340 –> 01:21:05,700
matches the way the work actually gets done.

1546
01:21:05,700 –> 01:21:09,740
Once you start seeing transformation through that lens, one conclusion becomes very hard

1547
01:21:09,740 –> 01:21:11,540
to avoid.

1548
01:21:11,540 –> 01:21:15,140
Organizations do not fail at transformation because they lack the right technology.

1549
01:21:15,140 –> 01:21:19,300
They fail because power was never redesigned to let better behavior become the easiest path

1550
01:21:19,300 –> 01:21:20,300
forward.

1551
01:21:20,300 –> 01:21:24,340
If no one is intentionally designing how power flows through your organization, then your

1552
01:21:24,340 –> 01:21:26,900
organization is already being designed by default.

1553
01:21:26,900 –> 01:21:31,500
It’s being designed by history, by office politics, and by whoever people trust enough to

1554
01:21:31,500 –> 01:21:33,980
bypass the formal routes just to get things done.

1555
01:21:33,980 –> 01:21:37,940
That is still a form of architecture, but it’s unmanaged architecture that creates a single

1556
01:21:37,940 –> 01:21:39,140
point of failure.

1557
01:21:39,140 –> 01:21:41,060
So here is the challenge I want to leave you with.

1558
01:21:41,060 –> 01:21:45,180
Take one workflow this week and map the real decision path against the official one you

1559
01:21:45,180 –> 01:21:46,180
see in the handbook.

1560
01:21:46,180 –> 01:21:47,620
Don’t look at the polished version.

1561
01:21:47,620 –> 01:21:49,020
Look at the lived one.

1562
01:21:49,020 –> 01:21:51,820
Where does the authority actually sit when things get difficult?

1563
01:21:51,820 –> 01:21:54,740
Where does the access not match the accountability you’ve given someone?

1564
01:21:54,740 –> 01:21:58,660
Where does the work wait for one specific person to interpret, approve, or rescue it?

1565
01:21:58,660 –> 01:22:02,140
If you do that honestly, you will find the root of your transformation issues much faster

1566
01:22:02,140 –> 01:22:04,020
than any steering committee ever could.

1567
01:22:04,020 –> 01:22:07,980
If this episode helped you see transformation as a system outcome instead of just a people

1568
01:22:07,980 –> 01:22:11,540
problem, subscribe to the M365 FM podcast for more.

1569
01:22:11,540 –> 01:22:15,500
We talk about structural resilience, power flow, and how Microsoft technology actually shapes

1570
01:22:15,500 –> 01:22:17,340
business reality every single week.

1571
01:22:17,340 –> 01:22:21,620
If this gave you a useful frame for your work, leave a review for the podcast and connect

1572
01:22:21,620 –> 01:22:23,620
with me, Mirko Peters on LinkedIn.

1573
01:22:23,620 –> 01:22:27,540
Tell me where power is blocking transformation in your organization because that is exactly

1574
01:22:27,540 –> 01:22:29,660
where the next real redesign needs to begin.