AI Model Risk Governance
A large bank implemented enterprise AI model risk governance, inventorying 500+ models and reducing validation cycle time.
A large bank used 500+ AI/ML models across credit risk, fraud, marketing, and operations, but lacked a centralized governance framework to manage model risk. Model inventories were maintained in spreadsheets, validation was inconsistent, and regulatory scrutiny of AI model risk was intensifying. The bank partnered with Vitosha to build an enterprise model risk governance platform on Azure ML and Purview, establishing a centralized model inventory, automated validation workflows, and comprehensive risk reporting.
Overview
A large bank used 500+ AI/ML models across credit risk, fraud, marketing, and operations, but lacked a centralized governance framework to manage model risk. Model inventories were maintained in spreadsheets, validation was inconsistent, and regulatory scrutiny of AI model risk was intensifying.β¦
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Impact Metrics
100%
Model Inventory
50%
Faster Validation
90%
Risk Coverage
Tech Stack
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