Scaling AI After the Pilot
Turn a successful experiment into a supportable capability.
Do we scale this pilot, hold it, or stop — and how?
A pilot that works is not a capability that scales. This lab tests readiness across ownership, operability, governance and economics before you commit to scale.
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.
- Test readiness across ownership, operability, governance and economics
- Decide scale, hold or stop — on evidence
- Design the operating model that will support it
- Plan funding, ownership and controls
A decision, a rationale, an artifact
You leave with a Scale Readiness Review: an evidence-based go / hold / stop decision.
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
Executives, platform owners and transformation leads moving from experiment to enterprise capability.
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.