Measure the starting point
We review tools, habits, current use cases, risks, and confidence levels role by role.
← Adoption · Training and enablement
AI training for companies
Hands-on training per role, with safe data, the company's own cases, and real work as the exercise.
See if it fits →Result
The team leaves with judgment, practices, and cases it can use the next day — not just a list of prompts.
It fits if...
Companies that bought AI tools or allow their use but still see no consistent adoption or clear results.
What's included.
The final scope is set after the diagnosis, but these are the blocks that make the solution useful and operable.
- Pre-assessment
- Workshop per role
- Library of cases and prompts
- Playbook and follow-up
How it goes from idea to real work.
Design around the work
We turn the company's real processes into exercises, decisions, and safe practices.
Learn by building
The team practices on its own context and finishes with prompts, policies, or a working flow.
Sustain adoption
We leave a playbook, owners, a recurring case review, and follow-up to turn learning into habit.
Other solutions that might fit.
Executive AI briefingWhat's changing, where to invest, what to avoid, and which governance decisions leadership needs to make.→AI build dayThe team learns by building a real flow and ends the day with a working system.→AI champions programTrains an owner per area and creates a routine for sharing cases, prioritising, and scaling good practice.→
Let's see whether this is the right entry point.
We look at your current process, the result you're after, and the limits. If another solution fits better, we'll say so.