AI Pilot Design Lab
Design a pilot that produces evidence, not false confidence.
What must this pilot prove, and what happens either way?
Most pilots succeed at looking successful and fail at informing a decision. This lab fixes scope, owner, baseline, success criteria, data needs and exit criteria before anything is built.
A decision, not a lecture
A short, intensive session built on the ADAAS decision method — scenario, choice, consequence, debrief, artifact. You don't listen to a talk; you make the call under realistic constraints and defend it.
- Name the decision the pilot must inform
- Set a measurable baseline and success criteria
- Agree the exit — and kill — criteria up front
- Identify the data and integration the pilot needs
A decision, a rationale, an artifact
You leave with a Pilot Decision Brief: a one-page contract for the pilot — what it will prove, how, and what you will do with either outcome.
Every ADAAS session ends the same way: a decision, the rationale behind it, and an artifact your organisation can act on and defend.
Who should be in the room
Product leaders, pilot owners and sponsors who need pilots that actually decide something.
More in Decision Labs
Make a better AI decision — before the bigger bet.
Bring your team to a Decision Lab, or talk to us about running one inside your organisation.