Buying Copilot licences is the easy part. Getting your team to actually use it well — and trust it appropriately — is the part most rollouts get wrong.
The typical pattern: licences get assigned, a short intro email goes out, and within a month usage has quietly dropped to almost nothing. The tool wasn't the problem — nobody showed people specifically how it applies to their actual job.
| Vague prompt | Better prompt |
|---|---|
| "Summarise this email thread" | "Summarise this thread in 3 bullet points, focused on what we owe the client" |
| "Write a proposal" | "Draft a one-page proposal for [client], based on our last meeting notes, in a formal tone" |
| "Analyse this data" | "Find the top 3 trends in this spreadsheet and explain each in one sentence" |
Ask your pilot group directly: what did it save you time on this week? If the answers are specific and enthusiastic, expand the rollout. If people shrug, that's a sign the training — not the tool — needs another pass before going wider. For the broader case on why AI tools need this same careful, staged approach generally, see the right (and wrong) way to start automating your business.
Most people get the basics within days, but genuinely good prompting — knowing how to ask for exactly what you need — tends to develop over a few weeks of regular use with some guidance.
A staged rollout — a pilot group first, then wider deployment based on what's learned — usually gets better adoption than issuing licences to everyone on day one with no guidance.
Handing out licences with no training and no real examples relevant to each role. People try it once, don't know what to ask, and quietly stop using it.
Talk to our team about a rollout plan that gets real adoption, not licences sitting unused.