Buying AI licences without AI training for employees is one of the fastest ways to waste budget. People try a tool once, get a mediocre answer, and go back to the old way. Training doesn't need to be expensive — it needs to be practical and tied to real work.
Start with the rules
Before teaching anyone to prompt, explain what's allowed: which tools are approved, which data must never be pasted in, and when output must be reviewed. A one-page policy covers this. See our AI governance guide.
Train by role, not by tool
A sales lead, a project manager and a bookkeeper need different examples. Run short sessions — 45 to 60 minutes — for each role, using tasks they actually do this week.
Teach a few repeatable habits
- Give context: who the audience is, what the goal is, what good looks like.
- Provide examples or a template to follow.
- Ask for a draft, then refine it.
- Check facts, numbers and names before using anything.
OpenAI's own prompting guidance follows the same principles.
Build a shared prompt library
When someone finds a prompt that works for a recurring task, save it somewhere everyone can find. A shared library spreads good practice faster than any course.
Make time for practice
Ask each person to use AI on one real task per week for a month, then share what worked in a short team meeting. Name one champion who others can ask for help.
Measure adoption honestly
Track who is using the tools, for which tasks, and whether it saves time. Low usage usually means the training didn't connect to real work — not that people are resisting change.
The "Team AI fluency" score in our free AI Readiness Scorecard shows where your team stands today. For hands-on help, our Strategy Sprint includes a team training session.