# How do you prepare an executive committee for AI?

> Preparing an executive committee for AI is not teaching them to prompt, it is getting them to sign five lines that commit. A useful session does not produce leaders who understand the technology, it produces a committee that knows, in writing, what it refuses to delegate.

## 01 The short answer

Preparing an executive committee for AI is not a training exercise, it is a decision exercise. The useful session does not try to explain the technology: it ends with **five signed arbitrations** that draw the line between what the company lets AI do and what it keeps on the executive table.

In other words, a good executive preparation does not produce leaders who know how to prompt. It produces a committee that knows, in writing, what it refuses to delegate.

## 02 The five decisions that cannot be delegated

Each fits in one sentence. Each must be settled before the next session.

1
### The AI budget and its owner

How much the company puts into AI in 2027, who runs it, and on which metric it is doubled or cut. Without that figure and that name, AI projects stay orphan and get funded by trickle.

2
### The list of data opened to agents

Which bases, which documents, which systems an AI agent can read on behalf of the company. By default, none. Each opening is a written decision, not a checkbox ticked by a project lead.

3
### The red line on irreversible actions

Sending a customer email, publishing to the public, transferring money, filing a document, signing a contract. What the agent prepares, a named human signs. No implicit validation, no autopilot on these gestures.

4
### The allocation of risk and the escalation threshold

Who bears legal responsibility when an agent errs. And at what incident level the committee is automatically convened. Without those two numbers, risk floats between IT, legal and business lines.

5
### The indicators that say « it works »

Not the demos. Not the number of agents built. Three to five business metrics measurable before / after, reviewed in committee. If those metrics do not exist at launch, the year-end AI review will be a story, not a decision.

## 03 A sixty-minute session plan

Tested format, sustainable in a standard executive committee, that produces written arbitrations rather than general impressions.

Minute-by-minute plan for a decision-focused executive AI session Minutes Topic Expected output
0-10 Current AI use inside the company, no demo, no future vision One slide, numbers shared
10-30 The five non-delegable decisions, one by one Position taken or motivated deferral, per decision
30-50 The two or three priority use cases, reviewed through the five decisions Go / no-go / conditions, per case
50-60 Record of decisions, owners, review dates A one-page document signed in session
The deliverable that matters is not the deck, it is the decision page. An executive committee that leaves without it did not hold a session on AI, it attended a conference.

## 04 Five mistakes that kill the session

1
### Opening on a tool demo

The demo captures attention and moves the discussion from decision to fascination. It produces technical questions, not arbitrations.

2
### Letting a single expert run the session

A lone AI expert in front of the committee gets the polite questions, not the real ones. A pair (AI expert + neutral facilitator) makes disagreement surface.

3
### Mixing awareness and decision in the same hour

If the committee discovers the vocabulary in session, it cannot decide. Awareness is built beforehand, on a short self-study brief. The session arbitrates.

4
### Not naming an owner per decision

A decision without an owner dilutes within the week. Each line of the record must carry a name, a date, a review criterion.

5
### Ignoring compliance until it hurts

The AI Act, GDPR and sector rules are not a legal topic for later. They are constraints that shape the five decisions. Handling them afterwards forces undoing what was just signed.

Key takeaway Preparing an executive committee for AI means preparing a decision session, not a training session. The right success metric is not « the committee understood », it is « the committee signed five lines that commit ».

## FAQ

**Who should attend the session?**
The full executive committee, the head of AI if there is one, and a neutral facilitator external to the committee. IT joins for use cases, not for doctrine decisions.

**How long should it take?**
Sixty minutes for a first decision session, provided an awareness step has happened beforehand. Without it, count two hours and accept that some items will need a follow-up.

**How is this different from AI training for executives?**
Training targets understanding, an executive preparation session targets decisions. Both are useful and complementary, but they do not happen in the same hour and do not produce the same deliverables.

**Should independent board members be included?**
Yes, at least for information and risk allocation. Their outside view surfaces the questions the executive committee avoids among itself.

**How often should it be renewed?**
Once a quarter for the first twelve months, then twice a year. Doctrine does not change every three months, but use cases do move fast.

**What deliverable should the session produce?**
One page, no more. The five decisions, an owner per decision, a review date. A longer document means the committee did not actually decide.

## See also

- [Briefing a leadership team on AI](https://wyp.agency/en/glossary/brief-leadership-on-ai/)
- [Delegating to AI agents](https://wyp.agency/en/glossary/delegating-to-ai-agents/)
- [AI agent](https://wyp.agency/en/glossary/ai-agent/)
- [Shadow AI](https://wyp.agency/en/glossary/shadow-ai/)
- [AI Act](https://wyp.agency/en/glossary/ai-act/)
- [Strategic AI framing in 10 days](https://wyp.agency/en/glossary/ai-framing-10-days/)

## Sources

- Cisco — AI Readiness Index 2024-2025 (https://www.cisco.com/c/en/us/products/collateral/ai/ai-readiness-index.html)
- European Union — Regulation (EU) 2024/1689 on artificial intelligence (AI Act) (https://eur-lex.europa.eu/eli/reg/2024/1689/oj)
- Cigref — association of large French enterprises and public administrations (https://www.cigref.fr/)
- NIST — AI Risk Management Framework (AI RMF 1.0) (https://www.nist.gov/itl/ai-risk-management-framework)

---
Entry from the WYP.agency AI glossary · https://wyp.agency/en/glossary/preparing-leadership-for-ai/ · Last updated : 2026-11-12