When the Model Drifts Quietly
Respond to suspected model drift using validation, monitoring thresholds, and issue escalation.
Quiet drift The AI endpoint is healthy, but appeal volume is up and output patterns have shifted. Operational uptime can hide model degradation. SR 11-7 Baseline -> Monitor -> Escalate -> Revalidate Model risk management treats launch as the start of monitoring, not the end of review. Uptime green Endpoint health mistaken for model health. Quality changes become visible before they become incidents. A model is controlled only while its real-world behavior is measured against expectations. 01 Baseline 02 Monitor 03 Escalate Compare first Appeals are up 18 percent, but nobody knows the expected appeal range for AI-triaged cases.
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