How to get happy users and how to make AI adoption scalable within 90 days with Carina de Vries [MVP]

In this episode of the M365FM Podcast, Mirko Peters sits down with Microsoft MVP and adoption strategist Carina de Vries to unpack one of the biggest failures in enterprise AI rollouts: Most organizations are deploying AI tools before understanding how people actually work. While the industry obsesses over prompts, copilots, and new features, Carina argues that successful AI adoption has almost nothing to do with technology alone. It is about behavior. It is about communication. And most importantly, it is about making users genuinely happy in their daily work. This episode breaks down Carina’s ninety-day AI adoption framework, her philosophy around simplifying technology instead of endlessly adding features, and why most Microsoft 365 rollouts fail because organizations forget the human side of transformation. If your Copilot rollout feels chaotic, your users are resistant, or your organization keeps buying AI licenses without measurable engagement, this episode is your blueprint for fixing it.

FROM SECRETARY TO MICROSOFT MVP

 Carina’s path into technology did not begin in IT. It started as a secretary helping colleagues troubleshoot printers, Outlook issues, Excel formulas, and workplace applications. That early experience shaped her entire philosophy around adoption:
Technology only matters if it helps people do their jobs better. Over time, she transitioned into application management, workplace modernization, and eventually user adoption consulting after seeing firsthand how poorly organizations handled change management. Instead of focusing purely on technical implementation, she became obsessed with understanding:

• Why users resist technology
• Why training alone fails
• Why communication matters more than documentation
• How habits form around digital tools
• Why employees need emotional clarity before technical clarity

That eventually led to the creation of Workspace Heroes, her company focused entirely on Microsoft 365 adoption strategy.

THE REAL PROBLEM WITH AI ADOPTION

According to Carina, most organizations make the same critical mistake: They buy AI before understanding workflows. During the conversation, she openly agrees that companies are purchasing AI solutions without first understanding how people actually operate inside the business. This creates a dangerous pattern:

• Leadership buys Copilot licenses
• IT enables the technology
• Users receive mandatory training
• Adoption stalls almost immediately

Why? Because AI is not just another software rollout. Copilot changes behavior. And behavior takes time. Carina explains that successful Copilot adoption is not about teaching features. It is about helping users build repeatable daily habits around AI-assisted work.

WHAT IS A “HAPPY USER”?

One of the most powerful moments in the episode happens when Mirko asks a deceptively simple question: “What is a happy user?” Carina explains that most organizations never ask users this directly. Instead, companies measure:

• Productivity
• Efficiency
• Ticket reduction
• Revenue impact

But they rarely ask whether the technology actually improves the employee experience. Her definition of a happy user:
Someone who can use technology in the best possible way to perform their daily work while feeling more confident, capable, and mentally supported. This becomes the foundation of her adoption philosophy:
AI should not only increase output.
It should improve work itself.

THE NINETY-DAY AI ADOPTION MODEL

At Microsoft Ignite, Carina presented her ninety-day framework for scalable AI adoption. The framework is built around one core principle: Copilot adoption is behavior transformation. Not software enablement. Phase 1 — The First Fourteen Days: Build the Guardrails The first two weeks focus on preparing:

• Communication strategy
• Training approach
• Internal champions
• Governance basics
• Rollout structure

Carina argues that organizations spend far too much time overengineering preparation instead of starting small and learning quickly. Phase 2 — The Thirty-Day Habit Window This is where most AI projects either succeed or fail. Carina explains that users must repeatedly interact with Copilot during their normal workflow in order to build sustainable habits. Her recommended cadence:

• Monday → Share one practical Copilot tip
• Wednesday → Run a Q&A session
• Friday → Let users share their best prompts and experiences

This creates repetition. And repetition creates behavior change. Instead of overwhelming users with every feature at once, the goal is to help employees discover one task where AI genuinely improves their day. That single win becomes the anchor habit.

WHY MOST ROLLOUTS FAIL

Carina identifies several warning signs that indicate an AI rollout is already failing:

• Nobody attends Q&A sessions
• Users stop sharing prompts
• Communication disappears inside corporate noise
• Champions lose enthusiasm
• Leadership pushes technology without context

One of her strongest recommendations:
“Fake it till you make it.” In early adoption stages, project teams should actively model behavior, share prompts themselves, and demonstrate visible engagement until momentum becomes self-sustaining.

THE “MAKE IT SIMPLE” PHILOSOPHY

One of the strongest themes throughout the conversation is simplification. Carina argues that most Microsoft 365 environments overwhelm users because organizations enable everything immediately. Instead of helping employees master core workflows first, companies activate:

• Teams
• SharePoint
• Planner
• OneNote
• Power Platform
• Copilot
• Dozens of apps simultaneously

The result:
Cognitive overload. Her recommendation is radically simple:
Start with the basics.
Master them first.
Expand later. This philosophy applies directly to Copilot adoption as well. Do not teach every feature. Teach one useful habit.

WHY LEADERSHIP IS THE BIGGEST BOTTLENECK

One of the hottest takes in the episode is Carina’s direct agreement that leadership is often the biggest blocker to successful Copilot adoption. Executives approve AI initiatives quickly, but middle management is left carrying:

• Daily operations
• Organizational change
• Staff concerns
• Fear of AI disruption
• Competing priorities

This creates a disconnect:
Leadership demands transformation while teams lack the bandwidth to absorb it. Carina argues that middle management must become a primary target audience for adoption programs because they are the bridge between strategy and behavior.

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