AI Governance & Model Risk

We help organizations implement responsible AI practices that meet regulatory, ethical, and operational expectations. Governance ensures your models are safe, explainable, and monitored throughout their lifecycle.

Our work includes bias testing, model documentation, risk assessments, audit trails, performance monitoring, and controls that fit your industry’s compliance standards.

Strong governance reduces risk while enabling faster and more confident deployment of AI capabilities.

What this includes

• AI use case inventory and risk classification
• Documentation templates for models and systems
• Monitoring for drift, performance, and misuse
• Processes for approvals, review, and change management