AI opportunities, risks and priorities

How do you prioritise AI uses in the executive committee?

On request

In short

This 3-hour half-day gives the executive team a shared reading of what AI can bring to the organisation. Starting from your activities, you distinguish realistic opportunities from hype, identify the risks to manage and leave with a reasoned list of priorities.

Why this training?

AI decisions are often made under pressure: spectacular announcements, fear of missing a shift, team concerns. Without a shared framework, the organisation accumulates isolated experiments or blocks all use. This course gives the executive team a common method to read opportunities and risks from its own activities. Running case: starting from three real processes, participants assess the value, feasibility and control conditions of several AI uses, then build a priorities matrix directly reusable in committee.

Objectives of this training

• Distinguish a realistic AI opportunity from hype, using explicit criteria.
• Identify the risk categories to manage for a given use (data, quality, accountability, dependency).
• Assess three real organisational processes with a common grid.
• Build a reasoned priorities matrix, ready for committee arbitration.

Who is it for and what are the prerequisites?

Roles and tasks concerned

• CEOs, executive committee members and SME leaders.
• General managers who must arbitrate AI use requests.

Prior skills

• No technical prerequisites.
• Hold a leadership or management responsibility involving trade-offs.
• Be able to describe two or three organisational processes.

What you will work on

1. Reading opportunities without the hype

   What AI assistants actually do today; criteria of a realistic opportunity (volume, repetition, error tolerance, available data).

2. Framing the risks to manage

   Data and confidentiality, quality and verification, accountability, vendor dependency; what calls for a rule, a check or a prohibition.

3. Running workshop: three real processes

   Applying the shared grid to three organisational processes; discussing differences in assessment.

4. Building the priorities matrix

   Collective synthesis: ranking uses, formulating control conditions and next arbitration steps.

What you take away

• Shared opportunity / risk assessment grid.
• AI use priorities matrix, completed on three real processes.
• List of control conditions to define before any rollout.

Method and assessment

• Short inputs followed by direct application to the organisation’s processes.
• Running workshop in subgroups with feedback and comparison of assessments.
• No tool demonstration needed; the course requires no licence or AI access.

Observable criteria: each participant assesses at least one process with the full grid, justifies their ranking in the matrix and formulates a verifiable control condition for the selected use.

Frequently asked questions

How much does the “AI in business: opportunities, risks and priorities” in-company course cost?

The price of the “AI in business: opportunities, risks and priorities” 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 “AI in business: opportunities, risks and priorities” course and in which language?

The “AI in business: opportunities, risks and priorities” course lasts Half day and is delivered in person at your premises. It is available in French, chosen at booking.

Do you need to use AI already to attend?

No. No prior practice is needed; the concepts are introduced without any tool demonstration.

Does the course cover AI Act compliance?

It contributes to your AI literacy approach (article 4) and helps ask the right governance questions, without certifying your organisation’s compliance.

Do you leave with something concrete?

Yes: a priorities matrix completed on three of your processes and the list of control conditions to define before any rollout.