AI that starts with your staff, not a slide deck
Most AI rollouts fade a few weeks after the workshop. I do it the other way round: train your people first, let their ideas lead, then build the plan.
The people doing the work know where AI helps
They are rarely in the room when the strategy is written. So your team learns to use the tools you already pay for, safely and well. The ideas then come from the people closest to the work, one project at a time.
How it works
| Step | What happens | What you get |
|---|---|---|
| 1. Train your staff | They work through my AI courses at their own pace, with one live kickoff so they know why it matters. | Safer, more confident use of the AI tools you already pay for. |
| 2. Harvest the ideas | Staff record where AI could help in their own job. A live workshop then pulls the best ideas into the open. | Your AI audit, done by the people who know where the time goes. |
| 3. Build the plan | I rank the ideas by impact against effort and tell you which three to do first and what they are worth. | A clear, costed shortlist, with developers I trust if you need a build. |
Why not start with an AI audit?
| Traditional AI audit | Staff-first approach | |
|---|---|---|
| Where answers come from | Weeks of interviews and shadowing | Your staff, who already know how the work really gets done |
| What you are left with | A report that starts going out of date | Trained people, named AI champions and a live idea process |
| Risk | A big commitment up front | Small steps, cheap mistakes: prove the first win before the second |
| Safe use | A policy nobody reads | Data protection taught as habits, from day one |
Why I start with a quick win
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