Model Risk Management
Your board needs to understand AI risk—not just hear that 'the models are fine.' SUPERWISE provides board-ready risk visibility.
User Story
"I'm the Model Risk Manager at a regional bank. We have 50+ AI models in production—credit scoring, fraud detection, customer service chatbots. Our regulators require SR 11-7 compliance, but we had no central inventory, inconsistent validation, and manual documentation. SUPERWISE gave us a centralized model registry, standardized validation workflows, and automated documentation. Now we can demonstrate model risk governance to our board and regulators with confidence."
Scenario
- Role
- Model Risk Manager
- Industry
- Financial Services
- Challenge
- Inconsistent validation, no central inventory, manual documentation, SR 11-7 compliance difficult
- Solution
- SUPERWISE Model Risk Management with centralized registry, validation framework, and automated documentation
- Outcome
- Complete model inventory, standardized validation, automated documentation, SR 11-7 aligned governance
Measurable Business Impact
Model Inventory
Complete catalog of all AI models
Aligned
Regulatory compliance framework
Time Saved
Automated vs manual documentation
Reporting
Executive dashboards and audit reports
Model Risk Management Workflow
SR 11-7 aligned framework from model registry to automated documentation—complete governance for all AI models
Model Registry & Inventory
Create centralized catalog of all AI models—LLMs, traditional ML, vision models. Track metadata, owners, versions, business use, and risk classification.
Risk Assessment & Classification
Assess model risk based on use case, data sensitivity, and regulatory requirements. Classify models for appropriate governance level.
Standardized Validation
Execute validation workflows aligned to SR 11-7 requirements. Validate model accuracy, fairness, explainability, and business logic.
Lineage & Dependency Tracking
Track complete model lineage—data sources, transformations, training code, dependencies. Understand model relationships and data flows.
Automated Documentation
Generate model cards, validation reports, and risk documentation automatically. Maintain audit-ready documentation for regulators.
Challenges
- ×Board has no visibility into AI model risk posture
- ×Model drift and degradation go undetected until failures occur
- ×Bias in AI decisions creates legal and reputational exposure
- ×Risk documentation doesn't meet regulatory scrutiny
- ×No clear accountability when AI models produce negative outcomes
Solutions
- ✓Board-ready risk posture dashboards and reporting
- ✓Continuous monitoring for drift, degradation, and bias
- ✓Automated risk scoring that leadership can understand
- ✓Regulatory-ready documentation (SR 11-7, SOX, GDPR)
- ✓Clear accountability chains for model risk ownership
How SUPERWISE Enables Model Risk Management
Complete model risk framework with registry, validation, lineage, and documentation
SUPERWISE Features
- •Model registry (centralized catalog of all AI models)
- •Policy engine (SR 11-7 aligned validation workflows)
- •Complete audit trails (model lifecycle, validation, changes)
- •Observability dashboards (model health, risk posture)
- •Automated documentation (model cards, validation reports)
Feature Combinations
- →Model registry with policy engine for standardized validation
- →Audit trails with observability dashboards for board-ready reporting
- →Lineage tracking with automated documentation for complete traceability
Complete Model Risk Framework
Board-Ready Risk Reporting
Risk posture dashboards that boards and executives can understand and act on.
Drift Detection
Automatically detect when models degrade—before they cause business impact.
Bias Monitoring
Continuous fairness assessment. Know when AI decisions become biased.
Risk Documentation
Auto-generated risk assessments that satisfy auditors and regulators.
Ready to centralize model risk?
See how SUPERWISE provides SR 11-7 aligned governance faster—complete model inventory and validation in weeks, not months.
Give Your Board AI Risk Visibility
Model risk management that leadership can understand and trust.
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