Copilot Adoption with PromptingBirds
What we’ve learned from more than 100 projects – and why the rollouts that do everything right on paper are exactly the ones that fail.
Most companies fail at AI adoption because they try to bring 100% of their employees along at once.
A dedicated team, clear roles. Why this is the difference for you between “the project works” and “the project quietly fizzles out.”
Real numbers from live client projects. Which KPIs we use, which ones we deliberately ignore, and why “adoption rate” on its own tells you nothing.
What you'll learn in this video
- Why a technically flawless license rollout almost never leads to real usage — and the role change management plays in that
- How a pilot-based adoption model with 20–50 hand-picked early adopters anchors adoption structurally
- Why classroom-style training for Copilot doesn’t work — and which format actually leads to lasting usage
- How real use cases from participants’ day-to-day work make the decisive difference between training and true enablement
- Which KPIs really count — and why “weekly active users” is too superficial to explain ROI to the C-level
- How to define outcome metrics that both leadership and IT management understand together
Who is this relevant for?
This video is aimed at executives and project leads in companies that have already introduced Microsoft Copilot or are planning the rollout — and are realizing that handing out licenses alone doesn’t create change. It’s especially relevant for IT leaders who have to justify adoption targets to the business, as well as for change management and L&D owners who want to build enablement concepts.
The next step
If any of these three mistakes applies to your ongoing or planned rollout, it’s worth having a concrete conversation about where things stand and where you can course-correct. A 30-minute call is often enough to identify the key levers.