- Start with identified work situations and a representative pilot group.
- Managers need to clarify expectations, boundaries and learning time.
- Measure the quality and effects of usage alongside access to tools.
An organisational question
Microsoft’s Work Trend Index 2026 examines agents, human agency and changes in work organisation. Its survey concerns knowledge workers who use AI; it does not describe the entire workforce. Self-reported evidence also needs to be distinguished from product observations.
For a business, the practical question is simple: what happens after licences are assigned? Without clear use cases, experimentation becomes scattered. Some employees find useful assistance, others do not know where to begin, and managers struggle to assess outcomes. An adoption programme should establish shared practices while respecting differences between roles.
Observe work before training
Start with a few task-centred interviews. Ask teams to show a recent example, the documents they use and how they check their work. Summarising information for procurement has different constraints from producing marketing content or reviewing code.
Group use cases by frequency, usefulness, data needs and the consequences of an error. Identify tasks where AI can prepare a first draft, tasks where it can support analysis and tasks that need explicit control. This map becomes the basis for workshops and usage guidelines.
Give managers a concrete role
Managers should do more than encourage usage. They clarify the expected improvement: a better dossier, an easier-to-check answer or more consistent preparation. They also specify when work needs review and how difficulties should be raised.
Allow time to learn through real work. A team cannot adopt a new tool comfortably if experimentation must happen on top of every existing obligation. Designate a champion to collect questions and an owner who can resolve process or access issues.
Structure the first weeks
A 90-day framework can help organise a programme without being a universal deployment timeline. The first period defines use cases and prepares access. The next supports practice with a pilot group. The final period examines results and prepares an expansion decision.
Workshops should use approved examples followed by supported practice. Each participant leaves with a short guide: the task, context to provide, checks to perform and known limitations. Office hours or a questions channel can address obstacles that emerge after training ends.
Measure the usage that matters
The number of active accounts is an access indicator, not sufficient evidence of value. Add observations about tasks actually performed, deliverable quality, required corrections and the ability to explain results. Record reasons for non-use: they may reveal a poor use case or missing access.
At review, compare similar situations and document the comparison’s limits. Pilot feedback informs training and guidelines, then helps select the next team. Rollout becomes organised learning, with clear ownership for support and improvement.
| Stage | Work to organise | Deliverable |
|---|---|---|
| Discovery | Interviews, use cases, access, sponsor | Pilot scope and criteria |
| Practice | Workshops and supported real tasks | Role-specific guides and feedback |
| Review | Quality, rework, usage and difficulties | Decision to expand or adjust |
Sources & methodology
This insight combines cited publications with editorial analysis. Illustrative examples are not client results. Vendor features and terms may change.