In Episode 29 of Guardians of M365 Governance, Christian Buckley, Joy Apple, and I went off-script. No guest, just a laundry list of the governance topics keeping us up at night. The thread that tied it all together: as Agent 365 matures and shadow AI spreads, the most important governance control isn’t a setting. It’s the human in the loop.

The challenge: inventory is easy, control is not

I spent last week delivering Agent 365 customer workshops (in Spanish, which was its own adventure). The pattern was consistent. Customers love the inventory and classification experience: a single view of every agent, whether built by Microsoft, a third-party vendor, or their own makers, across every publishing channel.

Where they hit a wall is everything after the inventory:

• Agent templates and standardized configurations
• Agent control mechanisms and rule management
• Shadow AI discovery (OpenClaw today; Claude Code CLI, Codex CLI, Cursor, Ollama and more are “coming soon”)

Right now, shadow AI agents on managed devices can be observed or blocked, and not much in between. That is a thin governance surface for a fast-moving problem. The new registry sync helps, pulling agents from Amazon Bedrock, Google Vertex AI, Databricks Genie, and Salesforce Agentforce into the same inventory, but visibility is only step one.

Best practice: Don’t be the “department of no.” When you discover a shadow agent, have the conversation first. What is the user trying to do? Is there a safer, compliant way to build it? Block as a last resort, not a reflex.

Technical context: not all autonomy is wanted

A recurring theme across every workshop: nobody wants fully autonomous agents yet. Customers happily deploy retrieval and knowledge agents, accept semi-autonomous ones with guardrails, but draw a hard line at autonomy. The fear is concrete: MCP commands that can edit, delete, or archive content with no one watching. The concerns cluster around cost, compliance, security, and agents that are simply too powerful.

The answer isn’t fewer agents. It’s more humans, in more places in the loop.

Where the human belongs in the loop

Governance maturity means recognizing that “human in the loop” is not a single checkpoint. It’s a pattern that repeats across the lifecycle:

1. Content lifecycle — someone owns deciding which old content gets cleaned up, archived, or deleted before agents ever touch it.
2. The quality gate — in Power Platform pipelines, a human approves (or declines) the promotion of an agent from development to staging to production.
3. The workflow escalation — the most important one. When an end user says “I don’t want to talk to this agent anymore, get me a person,” that escalation path must exist by design.

Best practices for the agentic era

• Test relentlessly. One recent Power Platform governance workshop produced roughly 100 test cases for the platform alone. Never underestimate the effort to validate both the agents and the infrastructure underneath them.
• Use AI to write, but own the verification. I had Opus draft a 47-page governance document. It saved me from writing it, and yet I spent five days correcting, communicating, and testing every single claim inside it. AI as idea generator and first-draft editor; the accuracy stays your responsibility.
• Reframe the goal. Stop optimizing for productivity. As Joy put it, the shift we need is toward effectiveness: redefining how humans work with AI rather than grinding people to dust chasing more output. New governance rules will need to encode that.

Conclusion

The lesson of the cloud migration is repeating with AI: the foundational cleanup, the clear roles, the conversations matter more than the toggles. The discussion of the next two to three years will be resetting the standard for what it means to be the human in the loop. As Hegel might remind us, be clear about who is riding the horse. Govern your agents as helpers, never the reverse.

Read more about Microsoft Agent 365:

• Agent 365 AMA Decoded: 25 Questions, 25 Answers, and Zero Fluff
• Microsoft Agent 365: What It Can’t Do (Yet) — Limitations You Need to Know
• My Blogpost “Microsoft Agent 365 FAQ: What You Need to Know Before May 1st”
• Microsoft Purview vs Agent 365: Understanding Agentic AI Governance
• Agent 365 WhitePaper by Microsoft

PS: Ready to implement proper AI agent governance? Contact me, Ragnar Heil, for a consultation on Agent 365, SharePoint Advanced Management, Microsoft Purview (Information Protection, Data Loss Prevention Policies, DSPM for AI), Rencore Governance, EasyLife365 Collaboration, ShareGate Protect, Data&More or Agent 365 deployment strategies tailored to your organization’s needs. Find my calendar here at our HanseVision Governance Landing Page.

The post Human in the Loop: Why Effectiveness Beats Productivity in the Agentic Era of Microsoft 365 first appeared on Ragnar Heil (MVP): Empowering M365 with AI.

Original Post https://ragnarheil.de/human-in-the-loop-why-effectiveness-beats-productivity-in-the-agentic-era-of-microsoft-365/