Executive summary
A method for testing whether an organization can deploy, govern, adopt, and measure a specific AI tool before it builds the case for buying it.
What is inside
What the readiness assessment covers
The asset walks an assessment lead through scoping, evidence collection, individual pre-scoring, calibration, evidence caps, the capacity-to-cash test, the gap register, and the readiness gate. It includes an eight-dimension rubric, a gap register format, and a gate checklist, with a worked synthetic case.
- Scoring readiness for one specific AI use case, not AI in general
- Eight dimensions from data and model risk to adoption and measurement
- Anchored scores with evidence caps
- Calibration across functions before scores are agreed
- The capacity-to-cash question every AI case depends on
- A priced gap register with owners and dates
- A readiness gate before the business case