Financial services
Bank accelerates AI governance and model risk management
Framework for ML models in credit and fraud signals, with documentation and controls expected by the regulator and internal audit.
Client challenge
Fragmented model inventory, unclear ownership and no consistent pre-production review for new AI use cases.
bayata approach
Model lifecycle process, risk taxonomy, DPIA packs per use case and working agreements between business, risk and IT.
Measured outcome
Faster go-live of controlled models and a single source of truth for registration and version control.
8 production use cases advanced with full file within 90 days
Services
- Digital & AI Transformation
- Strategy & Business Transformation