Run FMEA on an AI Workflow
Apply FMEA logic to identify and control high-priority AI workflow failure modes.
A claims AI drafts denial letters. The team needs to identify the failure mode most likely to create serious customer or regulatory harm before launch. FMEA: failure mode -> effect -> priority -> control The common trap is treating every AI mistake as the same kind of quality issue. A typo, a poor tone choice, and an incorrect denial rationale do not deserve equal controls. Failure mode List concrete ways the AI could fail: outdated customer status, hallucinated policy rationale, missing exclusion, or wrong tone. FMEA starts with specific failure modes, not broad statements like AI may be wrong. Effect…
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