Audit the launch evidence.
Check whether the claim has reproducible proof, accessible inputs, real limitations, and a decision-ready denominator.
Run the scorecard →ResearchAudio / start here
Four tests between the AI claim and your decision.
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The sequence
Claim → cost → loop → business case.
0 / 4 complete
Price a successful task.
Put retries, failure probability, model calls, and human review into one comparable operating-cost number.
Calculate real cost →Inspect the agent loop.
Find missing termination, validation, recovery, tracing, budgets, and human escalation before production.
Inspect the loop →Stress-test the ROI.
Keep failed tasks and review labor in the model, then test whether implementation pays back under more than one scenario.
Test the business case →Make the loop compound
Pass the lab to one teammate.
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