AI Governance, Risk & Compliance

Establish responsible AI frameworks, model risk management processes, and audit-ready documentation that meet regulatory requirements — without slowing down innovation. Governance done right is an enabler, not a blocker.

As AI regulation accelerates globally — from the EU AI Act to evolving US guidance and sector-specific requirements — organizations that build governance capability now will have a durable competitive advantage. Those that don't face increasing regulatory exposure and reputational risk.

What We Deliver

• AI governance policy and operating model design — roles, responsibilities, escalation paths, and committee structures
• Model risk management (MRM) framework design aligned to SR 11-7 and emerging AI-specific regulation
• Model inventory design and lifecycle documentation standards (development, validation, deployment, monitoring, retirement)
• Fairness, explainability, and bias assessment frameworks for high-stakes models in lending, hiring, and healthcare decisions
• AI regulatory readiness assessment — EU AI Act, NIST AI RMF, NYDFS, and sector-specific requirements
• Third-party and vendor AI risk due diligence frameworks and assessment questionnaires
• AI incident response playbooks and escalation procedures

Regulatory Landscape

We track the evolving AI regulatory environment across jurisdictions and sectors. Our frameworks are designed to be durable as requirements evolve — built around risk principles rather than point-in-time compliance checklists.