Training

Practical AI training for teams.

Workshops and applied sessions so your team uses AI with clear criteria — usefully and safely.

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For teams that want to move from trying isolated tools to using AI in daily work with clear criteria, boundaries and real use cases.

Who it's for

Who it's for.

Teams that have tried AI but lack a shared set of criteria.
Departments that want to improve real day-to-day tasks.
Leadership that wants to train the team without creating shadow AI.
Organisations that need safe, proportionate use.
Teams that don't need a full project, just training.

What we cover

What the training covers.

Not a generic course: we start from the team's real work and the tools it already uses.

Criteria for use

When to use AI and when not to.

  • Limits and cases where it doesn't apply
  • Output quality
  • Human review

The team's real cases

On your own processes and tasks.

  • Frequent tasks and documentation
  • Analysis and decision support
  • Your own examples, not generic ones

Prompts and working method

Structure, not tricks.

  • How to structure and iterate
  • Verifying the result
  • Responsible use

Light automation

Only where it helps.

  • Connect tools when it makes sense
  • Simple flows
  • No over-engineering

Best practices and adoption

So it lasts.

  • Security and sensitive data
  • Habits and documentation
  • Next steps

Formats

Possible formats.

They adapt to the team and the goal; we fine-tune the starting point with you.

Introductory session for the team

A first hands-on introduction to align criteria. Not a strategic talk for leadership.

Practical workshop

Applied work on the team's real cases and tools.

Tailored programme

Several sessions combined to fit the level and goals.

Follow-up support

Help to consolidate habits and answer questions after the training.

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How we tailor it

Not a generic course.

We understand the team and its context.
We pick real cases from your work.
We adapt to the tools you already use.
We work with your own examples.
We leave materials or guidelines to continue.
We point out the next steps.

What's left

What the team takes away.

  • Shared criteria for use.
  • Prioritised cases to start with.
  • Repeatable ways of working.
  • Better prompts and review habits.
  • Clear limits of use.
  • 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 clear criteria.

FAQ

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 use your own processes and real examples, not a standard syllabus.

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.

What's the difference between training and an executive talk?

Training upskills the team to work with AI. An executive talk gives leadership context and criteria to decide; it's not applied training.

If your team is already trying AI, it is worth turning scattered usage into a clearer and safer way of working.

Tell us your case and we'll propose the format that fits.

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