AI training and adoption
Buying licences is not adopting AI. I work with the people: training by job role, internal champions, short lessons and an honest measurement of what is being used and what is not.
Who it is for
Teams with AI licences and little real usage.
Weekly active use
The main indicator
Time recovered
Measured per task
Champions trained
One per area
Everything this area covers
For companies that already have the tools but cannot get people to use them.
What it looks like in practice
A Copilot workshop for the sales team using their own documents.
A weekly lesson in Teams with a practical case per role.
An adoption dashboard by department, reviewed monthly.
Related package · 8 weeks
8-week adoption programme
From underused licences to measured weekly usage, with internal champions who can keep it going.
- Initial maturity and tooling assessment
- General training for the whole organisation
- Workshops for specific areas
- Initial prompt library
- Weekly lessons and internal newsletter
- Coaching sessions for the champions
- Adoption measurement and final report
The same path on every project
Discover
I look at processes, teams, tools and opportunities.
Prioritise
I rank the cases by impact, effort, feasibility and risk.
Prototype
I build a scoped pilot and measure whether it actually helps.
Roll out
I integrate the solution and train the people using it.
Measure
I instrument adoption, quality, cost and latency.
Scale
I add new cases and maintain the ones already running.
What it is built with
Does this fit your case?
Half an hour to understand your situation and tell you honestly whether this helps, what it would take and what to expect.