AI systems fail in production because the system around the model is invisible.
Enterprise AI projects optimize for demo day. Clean outputs, fast responses, impressive metrics. Then the compliance team asks questions no one prepared for: Why did it do that? Who decided? What was the context?
Audit survival demands three system properties:
- Traceability
- Every decision reconstructible from inputs to outputs
- Policy surfacing
- Business rules explicit, versioned, and reviewable
- Human override
- Every automated action has a clear escalation path
The interface between model and operator is where trust lives or dies. Evaluation UX is not a dashboard. It is a decision trail that makes sense to a regulator reviewing it six months later.
Build the trail before the audit, or explain the gap during one.
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