AI Governance

The challenge

Regulators and internal risk teams increasingly ask how AI decisions are made, monitored, and overridden. Ad-hoc governance after deployment is expensive and fragile.

Platform capabilities

• Model inventory and ownership registry
• Bias and fairness testing workflows
• Explainability reports for high-impact decisions
• Policy templates for access, logging, and retention

What you get

• Governance framework document
• Model registry setup
• Review checklist for new models
• Audit log configuration guide