AI Executive Session Design
Last updated: 2026-08-14
The executive AI session design runs three sessions. The first spends sixty minutes demonstrating the systems on the organisation’s own material, including two deliberate failures shown live, followed by forty minutes of discussion. Showing failure is what makes the capability legible to people who must judge risk.
Executive AI briefings usually fail by demonstrating success only, which leaves decision-makers unable to judge where a system will break and inclined either to over-trust or to prohibit.
The template
The three-session format that works, in detail.
Session one. What these systems do. Sixty minutes of demonstration on the organisation's own material, including two deliberate failures shown live. Forty minutes of discussion on where in their own portfolio the same failure would matter. Twenty minutes to identify one candidate use case each.
Session two. How to read a proposal. Participants bring their candidate. The group applies the four-axis scoring model and the readiness assessment. At least a third of the candidates should fail, and the session is working when participants reach that conclusion themselves.
Session three. What you are accountable for. Consequence tiering applied to their own systems. Stopping conditions drafted. Vendor question set applied to a real contract in the organisation. Each participant leaves with a written decision on their candidate and a named next action.
How to use it
- Demonstrate on the organisation’s own material. Generic demonstrations do not transfer to the decisions this audience makes.
- Show two deliberate failures live. It is the most useful sixty seconds in the session.
- Space the sessions rather than compressing them into one day, so that questions can form between them.
- Keep the cohort small enough that senior people will admit what they do not know.
This template comes from the AI Leadership and Workforce Capability: A Practical Playbook, which sets out the reasoning behind it, the rules of thumb that govern its use, and the signals that tell you the approach is failing. The full playbook is also available as Markdown. See all AI governance templates.