Measure the starting point
We review tools, habits, current use cases, risks, and confidence levels role by role.
← Adoption · Training and enablement
AI champions program
Trains an owner per area and creates a routine for sharing cases, prioritising, and scaling good practice.
See if it fits →Result
Adoption stops depending on one person or on the buzz that follows a single workshop.
It fits if...
Companies with several teams that need distributed ownership without losing standards or central visibility.
What's included.
The final scope is set after the diagnosis, but these are the blocks that make the solution useful and operable.
- Selecting champions
- Cohort-based program
- Case library and review routine
- Office hours and metrics
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.
AI training for companiesHands-on training per role, with safe data, the company's own cases, and real work as the exercise.→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.→
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.