The method turns an AI preference into a testable decision
Name the intention, map the capability gap, compare reversible paths, freeze the forecast, and learn from variance. These are audit controls—not claimed customer outcomes.
Artifacts you can inspect
Map the capabilities
Make current strengths, missing capabilities, evidence, authority, and constraints visible before discussing tools.
Choose the best-fit stack
Compare credible options by capability coverage, implementation time, total cost, reversibility, and operating risk.
Calibrate forecast against actual
Freeze expected cost, time, and cash effect before delivery, then explain the variance after delivery.
From intention to variance
Each stage produces evidence for the next bounded decision.
- 1
Name the intention
Identify the journey, intended change, and decision that need evidence.
- 2
Compare capability paths
Compare viable stacks against the required capabilities, constraints, time, and total cost.
- 3
Measure the variance
Compare forecast with actual results and use the difference to improve the next decision.