Team AI adoption, with checks

How do you get your team to adopt AI without losing quality?

On request

In short

“Getting your team to adopt AI, with the right checks” is a private in-person session of half a day for team managers whose staff are starting to use AI or project leads responsible for deliverable quality. Groups of up to 12 participants, in French, with exercises on your own work cases.

Why this training?

In many teams, AI arrives through individual initiatives: invisible use, uneven quality, unspoken concerns. The manager is caught between two pitfalls — letting things run without a framework or blocking everything out of caution. This course offers a concrete adoption approach: choosing two or three useful applications with the team, defining the right quality check for each (who checks what, when, how) and leading the conversations that remove reluctance. Running case: each participant builds the adoption plan for a real use in their team, with its checks and a 30-day review point.

Objectives of this training

  • Choose two or three first useful, realistic AI applications with your team.
  • Define a proportionate quality check for each use: who checks what, when and how.
  • Lead a working conversation about AI-related reluctance.
  • Build the adoption plan for a real use, with a 30-day review point.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Team managers whose staff are starting to use AI.
  • Project leads responsible for deliverable quality.

Prior skills

  • Manage a team or a project.
  • AI Fundamentals completed, or equivalent skills (a learning prerequisite, not a registration condition).
  • Be able to describe a recurring task of your team.

What you will work on

  1. Starting from the team’s real use

    Mapping visible and invisible use; criteria of a first useful application (frequency, tediousness, error tolerance).

  2. Defining quality checks

    For each use: what must be checked, by whom, when; examples of proportionate checks by stakes.

  3. Handling reluctance

    Role plays: fear for the job, feeling of surveillance, loss of craft; working answers, not slogans.

  4. Running workshop: the adoption plan

    Each participant assembles their plan: use, checks, launch conversation, 30-day review point.

What you take away

  • Adoption plan for a real AI use, with roles and schedule.
  • Quality check sheet per use (checkpoints and owner).
  • Conversation outline for handling reluctance.

Method and assessment

  • Short inputs and workshops on participants’ real situations.
  • Role plays on reluctance conversations, with structured feedback.
  • Tool examples are illustrative; the course requires no licence or AI access.

Observable criteria: the adoption plan includes a dated use, at least two assigned quality checkpoints and a prepared launch conversation; the participant justifies the proportionality of the chosen checks.

Frequently asked questions

How much does the “Getting your team to adopt AI, with the right checks” in-company course cost?

The price of the “Getting your team to adopt AI, with the right checks” course is available on request, after a short discussion about your team’s context. An in-company session hosts up to 12 people.

How long is the “Getting your team to adopt AI, with the right checks” course and in which language?

The “Getting your team to adopt AI, with the right checks” course lasts Half day and is delivered in person at your premises. It is available in French, chosen at booking.

My team does not use AI yet — is this course suitable?

Yes. The approach starts from your team’s real situation, even if no use is in place yet.

Are AI licences needed to apply the method?

No. The course works on the adoption approach and the checks; the choice of tools and access belongs to your organisation.

What if a team member refuses any use?

The course prepares you for that conversation: understanding the reluctance, distinguishing what belongs to the role, quality or trust, and agreeing on a verifiable step.

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