Level up the software and the people at the same time.
Software that people do not understand does not get used, and people who understand AI without a system to apply it to stay at the demo stage. We coach the two together: the team learns on its own real tasks, and what it learns feeds straight into how the solution is built and adopted.
How a programme is built
A short assessment before the first session: how the team feels about AI, which tools it uses, how it prompts, what it fears. The programme is tuned to the room, not to a generic syllabus.
Everyone solves a real task from their own week with AI, then learns enough about models, tokens and cost to explain it to a customer or a colleague. Roughly half talk, half doing.
Hands-on sessions where participants stand up something that works, and learn when an agent is the answer and when deterministic automation is. Mostly doing.
A repeatable framework for the participant’s own job, practised out loud with real cases. For a pre-sales team: identify, qualify, demonstrate, position, close.
How it runs
- Two-hour live sessions, typically three, one to two weeks apart, with pre-work and homework in between
- Groups of up to 25
- Co-facilitated with a manager from your side, so there is no dependency on us afterwards and the manager sees the team’s progress first-hand
- Reference material sent in advance so live time goes to practice, not slides
What you get
- A team that uses AI daily on its own work, with a shared vocabulary
- People who can demonstrate and explain, not just describe
- A decision rule for agent versus deterministic that matches how we build
- A manager equipped to keep the practice going
The people who own the system should own the solution.
Which team has to live with the outcome?
Tell us who will use, sell or defend the AI you are putting in place. We will propose a programme built on their real work.