Build and Pilot

Track the focused implementation of the first three QAG pillars on a selected pilot model with measurable success metrics

Phase 2: Month 7 of 6

Pilot Implementation: 83% Complete

Three Pillars Implementation Status for Credit Risk Scoring Pilot

Pillar 1: Quantified Risk

95% Complete

Dynamic risk scoring with calibrated metrics for the pilot model

Risk Taxonomy Setup

Metrics Calibration

Dynamic Scoring

RAG Status Integration

Current Risk Score:

6.2 (Amber)

Pillar 2: Automated Guardrails

87% Complete

Policy-as-Code implementation with pre-deployment and in-production gates

Policy-as-Code Engine

Pre-Deployment Gates

Circuit Breakers

Guardian Agents

Gates Passed:

5/7 Active

Pillar 3: Centralized Observability

78% Complete

Single source of truth dashboard with audit trails and explainability

Model Inventory

Governance Dashboard

Audit Trail System

Explainability Layer

Dashboard Views:

4/6 Live

Pilot Success Metrics & KPI Tracking

KPI Category	Metric Name	Baseline	Current Value	Target	Status
Risk Reduction	Model Risk Score Reduction	8.2	4.8	> 40%	Exceeded
Risk Reduction	Violation Detection Time (MTTD)	2-3 weeks	18 hours	< 24 hours	Achieved
Risk Reduction	Audit Preparation Time	40 hours	1.5 hours	< 2 hours	Exceeded
Efficiency Gains	Model Deployment Velocity	12 weeks	8 weeks	> 30% reduction	On Track
Efficiency Gains	Governance Automation Rate	5%	78%	> 80%	Near Target
Efficiency Gains	Manual Intervention Rate	20/week	3/week	< 5/week	Achieved
Value Creation	Model Uptime/Reliability	94.2%	99.7%	99.9%	On Track
Value Creation	Stakeholder Confidence Index	6.1	8.9	> 2 point increase	Exceeded

Pilot Health Score

8.4

Out of 10.0 (Excellent Progress)

Risk Reduction

42%

Exceeded Target

Deployment Velocity

35%

On Target

Governance Automation

78%

Near Target

Stakeholder Confidence

+2.8 pts

Strong Improvement

Technical Implementation Status

Risk Metrics Implemented

Demographic Parity (< 0.05)

Equality of Opportunity (< 0.08)

KL Divergence (< 0.1)

PSI Monitoring (< 0.1)

SHAP Explainability (> 0.85)

Adversarial Robustness (> 0.9)

Automated Guardrails Active

Guardrail Type	Threshold	Status	Last Triggered
Fairness Check	DP < 0.05	Active	Never
Performance Gate	AUC > 0.85	Active	3 days ago
Data Drift Monitor	PSI < 0.1	Active	1 week ago
Circuit Breaker	Risk Score > 7.0	Testing	Not deployed
Explainability Gate	SHAP Fidelity > 0.85	Pending	Not active

Stakeholder Feedback & Organizational Buy-in

Executive Leadership

Confidence Score: 8.7/10

"Impressed with quantifiable risk reduction and faster deployment cycles. Ready to approve Phase 3 scaling."

- CFO, based on ROI demonstration

Risk & Compliance

Satisfaction Score: 9.2/10

"Audit preparation time reduced from 40 hours to 90 minutes. Automated compliance checks are game-changing."

- Chief Risk Officer

Data Science & MLOps

Adoption Score: 7.4/10

"Initial friction with new validation gates, but appreciate automated feedback and clearer guidelines."

- Lead Data Scientist feedback

Business Unit (Financial Services)

Value Score: 8.9/10

"Model performance improved 12% while maintaining regulatory compliance. Requesting expansion to other models."

- VP Financial Services

Phase 3 Preparation: Enterprise-Wide Scaling Readiness

Key Lessons Learned

Automated gates reduce manual overhead by 75%

Early stakeholder engagement critical for adoption

Need stronger change management for data scientists

Optimization Opportunities

Fine-tune bias detection thresholds

Accelerate explainability implementation

Enhance MLOps pipeline integration

Expand team training programs

Phase 3 Scaling Strategy

Wave 1: High-Risk Models

23 models identified, 6-month rollout

Wave 2: Core Business Functions

89 models, automated onboarding

Wave 3: Full Portfolio

All 247 models, governance-by-design