Commit to POC Success Criteria
Define AI vendor POC success criteria across performance, risk, workflow, and operations.
Draft the POC success criteria for an AI vendor before the pilot starts. Use this when the pilot involves model quality, user workflow, sensitive data, or a decision that stakeholders may debate after the fact. AI POC success criteria: 1. Scope: the exact workflow, user group, time window, and data allowed. 2. Test cases: normal cases, edge cases, and escalation cases. 3. Performance metrics: task correctness, citation support, severe-error rate, confidence calibration, and latency. 4. Workflow metrics: time saved, reviewer effort, override rate, user trust, and handoff quality. 5. Risk metrics: privacy incidents, subgroup performance gaps, prompt-injection failures, unsafe outputs,…
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