Run practical workshops using the work people already do.
Service
AI training and adoption
Getting a team confident and safe with AI.
What it is
Built around the work, not the tool
Getting a team confident and safe with AI. We agree where people stay in control, what a useful first release looks like and how it will fit the systems already in place.
Examples
What this can look like
Write an AI usage policy that is clear enough to follow.
Create prompt libraries for repeatable, approved tasks.
Develop an internal champions programme to support adoption.
Give different roles practical guidance for the decisions and information they handle.
Proven in our own work
Systems used across our group
We introduce our own systems into live businesses, so training is designed around adoption, judgement and daily work rather than a demonstration.
Connections
What it typically connects to
- 01Approved AI tools
- 02Company policies
- 03Knowledge sources
- 04Existing workflows
- 05Training records
The project
How the work runs
- 01
We start by understanding the work as it happens today, including the exceptions and workarounds.
- 02
We agree the first useful release, build it in the open and ask for decisions while they are still easy to make.
- 03
We launch with the people who will use it, then improve it from real feedback.
Example sectors
Where this can help
Ready when you are