For HR and L&D
Generative AI: building a training plan that holds
You own the budget and you'll be judged on what's still in use six months later. This page describes how we scope an AI training plan: who to train, in what order, at what cost, and how to show it worked.
What actually gets in the way
- Requests come in department by department, with no priority and no shared tooling.
- Generic catalogues teach ChatGPT in a classroom, not your teams' actual files.
- No adoption metric: you have a satisfaction score, not usage.
- The GDPR question arrives after the training, raised by IT or legal.
Sequencing over a year
| Phase | Audience | What you get |
|---|---|---|
| Month 1 — adoption audit | Leadership + 5 functions | Maturity score, 3 priority cases |
| Month 2 — executive briefing (2 h) | Leadership team | Budget and scope decisions |
| Months 3–5 — team trainings (1 day) | 6 to 8 people per session | 60% practice on their own files |
| Month 6 — day-90 measurement | Trained managers | Uses that actually stuck |
| Months 7–12 — monthly anchoring | Internal champions | Adoption that survives turnover |
Typical sequence deployed in SMEs. Adapted to your calendar and available budget.
Who to train, and in what order
- Leadership first, 2 hours, so the decisions hold.
- Managers next: they authorise or block daily usage.
- Document-heavy functions first (sales admin, quality, HR).
- Internal champions last, once you know which uses stick.
Budget and format
In-house sessions run at €2,380 excl. VAT for 6 to 8 people, one day, on site. Formats and prices are detailed on the pricing page.
Measure adoption, not satisfaction
- Three named use cases per participant, chosen during the session.
- A day-30 and a day-90 check: what's still used, what was dropped and why.
- A usage charter signed off with legal before the first session.
Scope your plan
The maturity self-assessment takes 5 minutes and gives you the starting point for the plan.
Take the free audit →