Training · The Lab

We don't teach
AI.We teach you to see it.

A lab for executives and senior managers of industrial mid-caps. It does not produce AI technicians — it produces leaders who ask sharper questions and recognize opportunities that were invisible before.

08
Core topics
03
Critical themes
01
Live lab
§ AI Act aware

Every session is built around the principles of the EU AI Act. Not as a regulatory appendix — as the structure of the reasoning itself.

For whom

For those who decide on AI, not those who build it.

The people who choose vendors, validate proposals, sign contracts — and need to know what to ask, what to demand, what to refuse. Not a technical course: a shift in vantage point.

  • 01 CEOs & Managing Directors
  • 02 Operations Leadership
  • 03 Function Heads
Core topics · I–VIII

Eight fundamentals.
Zero jargon.

  1. 01

    What an AI system actually is

    Foundations, recognizable examples, the difference between "AI" as a word and AI as a technology. No mathematics.

  2. 02

    LLMs, RAG, agents: how they work

    The three architectures everything rests on. What they do, what they do not, when to choose each. No code.

  3. 03

    Opportunities and risks of AI-driven processes

    Where AI truly changes the way work gets done. Where it creates new risk. How to tell them apart at a glance.

  4. 04

    Bias, hallucinations, errors

    When to trust the system, when not to. How to build control without paralyzing the work.

  5. 05

    Responsible use inside the company

    From the written rule to the real one: the Monday email to your team that sets what is allowed and what is not.

  6. 06 AI Act

    Human oversight and traceability

    The core AI Act requirement made operational. Where a human must be present, how you prove they were, why it counts.

  7. 07 AI Act

    The AI Act: the regulatory frame in practice

    What changes over the next 24 months. What it means for your company. What your customers will start asking.

  8. 08

    A training plan for the team

    How to pass on what you learned to the rest of the function. AI literacy as a legal duty — and a competitive edge.

Critical themes · Deep dives

The questions a vendor
will never ask you.

Three deep dives into the points where the real difference is decided: between a serious AI program and a cosmetic one.

I Infrastructure

An LLM inside the corporate network

Where does the data go when an employee pastes a document into ChatGPT? What actually protects you, what is only security theater. Real options: private Azure, on-prem deployment, Claude Enterprise.

II Architecture

On-prem models vs. cloud

Where does your data end up with a cloud model? When is it worth keeping everything in-house? What does an on-prem model really cost? The technical questions behind a strategic choice.

III Compliance · AI Act

The AI Act for the manager

Not the legal counsel version. The operating version: what you do on Monday, what you put in the internal policy, what you demand from the vendor. What you risk if you do not.

Formats

Three ways into the
same lab.

  • I In person at your site
  • II Remote live, across several days
  • III Hybrid tailored

Classes of 6 to 12 participants — the discussion only works at that size. The agenda is built around the real processes of your company, starting from a preliminary call with Francesco or Michele.

Next step

A training agenda
built around your company.

A 30-minute call with Francesco or Michele. Not a pitch — a read of your context, to decide together whether a program makes sense.