Training
Practical AI training for teams.
Workshops built around your team's real work: what to automate, how to check what the AI produces and how far to go with your data.
For teams that have already tried isolated tools and want them in daily work, with clear boundaries and cases of their own.
The practice
How to check what an AI just told you.
This is what we work on in the session: not writing better prompts, but knowing what to look at before you treat an answer as true. Pick a mark.
How did last quarter's revenue break down by branch?
In the third quarter the northern branch billed 12% more than the eastern one1, mostly through the wholesale channel. The year-end close confirms the half-year trend2 and it is worth keeping the focus there3.
The example is made up on purpose. In the session we work with your questions and your documents.
Where is the figure from?
The number · The source comes before the figure
That 12% doesn't say where it comes from. We teach people to ask which table, which period and which filter sit behind it — and to stop until they have it. A figure with no origin doesn't get forwarded.
The starting point
Teams that have tried AI and everyone uses it their own way.
Teams already using AI, each in their own wayAreas with tasks that repeat every weekLeadership that wants order and clear limitsOrganisations that prefer upskilling over outsourcing
- Spot
We see where AI helps and where it is better left out.
- Question
We learn what to check before trusting an answer.
- Correct
We review what it produces together, and improve it.
- Apply
We take what you’ve learned to your own cases and leave it working.
The content
What the training covers.
Not a generic course: we start from your own tasks and the tools you already use.
When to use AI and when not to
Where it helps and where it is better left alone.
The team's real cases
On your real processes and tasks.
Prompts and working method
Structure, not tricks.
Light automation
Only what genuinely saves work.
Best practices and adoption
So it lasts after we leave.
How it's organised
Possible formats.
They adapt to the team and the goal; we fine-tune the starting point with you.
One concrete pointSeveral processes and habits
One sessionOngoing support
Before we start
We build each session on your work.
We understand how you work today and pick real cases from your work, starting from the tools you already use. We work with your own examples, leave material so you keep practising, and point out the next steps.
What's left
What the team takes away.
During the sessions
- Prioritised cases to start with.
- Repeatable ways of working.
- Clear limits of use.
After we leave
- One shared way of using AI across the team.
- Better prompts and review habits.
- Autonomy to keep practising.
- Opportunities that can become a project.
No inflated metrics: the value is that the team can keep going without us.
Also
Projects and talks.
The training that accompanies a project is handover and adoption, inside the project. As separate services:
Data, automation and AI projects
When systems need to be built and implemented.
Executive talks
When leadership needs context and a shared basis for deciding.
Common questions
Frequently asked questions.
Is the training for technical profiles?
Not necessarily. We adapt to the team's level; most cases are for business profiles using AI in their work.
Do you work with our tools?
Yes. We start from the tools you already use; we don't impose a specific platform.
Is it generic or tailored training?
Tailored. We start from your own processes and real examples, not a standard syllabus: every session is prepared with your material.
Can we do it without a clear project?
Yes. Training is standalone. If a system to build emerges, we'll treat it as a separate project.
Can you implement what we spot during the sessions?
Yes. Tasks worth automating tend to surface, and we take them on as a separate project with its own scope. You can also stop at the training.
What's the difference between training and an executive talk?
Training upskills the team to work with AI. An executive talk gives leadership the context and the questions to decide; it's not applied training.
We turn scattered AI use into one way of working the whole team shares — safely and usefully.
Tell us your case and we'll propose the format that fits.
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