Sort checks by timing

Place each check in the timing window where it primarily belongs. Pre-deploy gate Live production monitor Delayed-label review Candidate model must beat baseline on agreed offline metrics Critical slices must not regress beyond launch thresholds Training and serving schema expectations are validated before release P95 and P99 inference latency are watched under real traffic Feature freshness and missingness are checked every serving window Automated approval or rejection volume is compared to baseline True accuracy is recomputed when outcome labels mature Customer lifetime value impact is reviewed after the observation period Outcome parity is reviewed once enough labeled cases accumulate

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