Operations Guide
AI Model Drift Detection Playbook for Reliability Teams
Model drift degrades production value when detection is delayed and response ownership is unclear. This playbook defines a drift detection workflow with baseline thresholds and remediation.
Implementation Steps
- Inventory drift signal categories: accuracy degradation, latency increase, cost variance, safety threshold breach, and behavioral anomaly.
- Set baseline thresholds per signal with severity scoring for response urgency.
- Assign drift owner for each category with weekly review cadence and escalation path.
- Track drift detection resolution time and update thresholds when false-positive rate exceeds limit.
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- Provider and model split recommendations
- Budget guardrail design by traffic stage
- KPI plan for spend, quality, and conversion