In-person AI training, tailored to every role
The problem
The team was using AI by instinct, everyone their own way, with no shared method and no time to learn it properly.
The solution
Hands-on classroom training, not slides: a shared session on the fundamentals, then modules tailored to each role, built on the team's real work.
How it went
The team was already using AI, but everyone in their own way: some with a few improvised prompts, others who had never tried it on their own work. What was missing was a shared method, not another theory lecture on "what AI is".
We built the training in two layers. First a shared session for everyone: what AI actually does today, its limits, responsible use (privacy, data, regulation), with concrete examples drawn from everyday work, not generic slides. Then modules tailored to each role: people writing documents, emails and communications work on productivity and summarising; developers work on AI coding agents, context, reviewing generated code and automations.
Every session is hands-on: built around a real problem someone in the room actually has, not a canned example. By the end the team keeps the materials, the recording, and prompts and flows already ready to reuse the next day, so independence doesn't depend on us.