Performance & Drift

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Deliverable 4g · Performance Measurement & Drift Monitoring

Performance & Drift

KPIs, live performance dashboards, drift detection, and ROI — the GAO Monitoring principle, made operational. Models are watched continuously; when input distributions shift, the framework reacts.

Fraud Model Precision
94.2%
Performance≥92.0%
Hotline Triage Accuracy
91.7%
Performance≥90.0%
Disparate Impact Ratio (Prioritization Model)
0.83
Fairness≥0.80
AI Model Inventory Coverage
100%
Oversight100%
Human-Review Override Rate
8.4%
Oversight≤12.0%
Annualized Fraud Recovery Lift (AI-Attributed)
$4.3M
ROI≥$3.5M
Drift Detection Response Time
4.2 days
Risk≤7 days
Investigator AI Tool Adoption Rate
78.3%
Adoption≥75.0%
SHAP Explainability Coverage (High-Stakes Decisions)
100%
Fairness100%
Policy Framework Review Compliance
5 of 6
Risk6 of 6

Model performance · trailing 12 months

Fraud Model Precision
Hotline Triage Accuracy
Image Classifier Recall
Human-Review Override Rate

Drift detection · Mail-Theft Image Classifier

Population Stability Index (PSI) monitored against a 0.2 breach threshold.

Breach detected · Mar 2026

What drifted

Peak holiday-season parcel volume introduced high proportions of new poly-mailer and oversized flat packaging types not well-represented in the original training set; the shift in packaging material textures and label placement patterns pushed PSI above the 0.20 breach threshold.

Automated response

Automated drift alert triggered a mandatory human-review escalation for all high-confidence theft flags; a targeted retraining job was queued using 60 days of recently labeled images; the retrained model was validated offline and promoted to production on 2026-04-11, restoring PSI to the stable band.

Return on investment

$4.3M
AI-attributed fraud recovery lift
trailing 12 months
38%
faster drift-to-remediation
mean time reduced
8.4%
human-review override rate
improving calibration