Services
Team AI Capability Training
Layered training for leadership and front-line staff that leaves both the tooling and the judgement inside your team. Not theory — people go back to their desk able to use it.
Understanding of AI inside a company is usually very uneven. Some people already draft their weekly reports with it, some still consider it hype, and leadership is worried staff are pasting sensitive material into public tools. Those three groups do not need the same session.
So we run training in layers, with different content and different measures of success.
The layers
Leadership (half a day). Not how it works — how to judge it. Which situations justify investment, how to see through a vendor proposal, how to estimate returns, where the data and compliance boundaries sit. The goal is being able to decide in the room rather than asking a consultant every time.
Business leads (one to two days). For the people who will champion it inside their department. Beyond tooling, the focus is fitting AI into their specific workflow and judging when an output is good enough to use as-is. This group determines later adoption more than anyone else.
All staff (half a day). Only what is directly relevant to the role, practised on real scenarios. No prompt-engineering theory — just "here is the thing you do every day, and here is how to do it with this".
Built on your own scenarios
The trouble with generic courses is that everything makes sense in the room and nothing is usable back at the desk. So our material is built per client: before the session we collect real scenarios from each department, and the exercises are the work they will be doing tomorrow.
For clients already running our systems, training happens in the live system, so people continue straight into real work.
Data security is not optional
The first AI incident most companies experience is not a model error — it is an employee pasting a client list, a contract clause or financial data into a public chat tool. We set out the boundaries plainly: what may go into which class of tool, what on-premise deployment solves, and what it does not.
The leadership session goes further, covering how to turn those rules into enforceable internal policy rather than an email nobody reads.
Common questions
What outcome should we expect
At the front-line layer, people should leave able to do two or three tasks from their own role. At the business-lead layer, able to spot new applicable scenarios themselves. At leadership, able to judge independently whether a proposal is worth funding. We do not promise "everyone masters AI" — that cannot be verified.
Can we do training without a project
Yes, and many clients start here. The real scenarios that surface from each department during training are themselves a good requirements list — better than one produced in a closed meeting.
How many people per session
Twenty to forty for front-line sessions; beyond that the exercises cannot be supervised properly. Leadership sessions work better small, where specific decisions can be discussed.