Financial Institution: Enterprise AI Governance Framework Deployment
Designing and implementing a unified AI governance framework across a 14-model production AI estate.
A regional financial services group with 14 AI models in production and no unified governance framework faced significant regulatory exposure ahead of EU AI Act enforcement. MTC designed and implemented a comprehensive AI governance framework, model inventory and ongoing oversight structure.
Enterprise AI Stack™ Layers Involved
The Challenge
- 14 AI models in production with no unified governance
- No model inventory, documentation standards or risk classification
- EU AI Act enforcement approaching with high-risk AI model exposure
- No bias evaluation or fairness monitoring on credit and risk models
- Board requesting AI risk reporting with no infrastructure to support it
Solution Architecture
- Complete AI model inventory and risk classification (EU AI Act tiers)
- AI governance policy suite: ethics principles, risk appetite, accountability matrix
- Model cards and system cards for all 14 production models
- Bias evaluation framework across protected characteristics
- Model performance monitoring dashboards with drift alerting
- Board-level AI risk reporting template and quarterly review process
- AI governance committee structure and terms of reference
Implementation Phases
Phase 1 (Weeks 1–3)
AI Estate Discovery
Full model inventory, stakeholder interviews, risk classification assessment.
Phase 2 (Weeks 4–8)
Framework Design
Governance policy development, accountability matrix, committee structure design.
Phase 3 (Weeks 9–12)
Implementation
Model documentation, bias evaluation, monitoring setup, training.
Phase 4 (Weeks 13–16)
Embedding & Handover
Board reporting integration, committee launch, ongoing review process establishment.
Key Outcomes
Governance Approach
This engagement was itself a governance implementation. Full EU AI Act alignment, tiered risk classification, ethics policy, accountability matrix, board reporting and ongoing oversight structure.
Security Architecture
Data governance audit as part of engagement, access control review for all model systems, PII handling assessment across AI estate.
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