AI Policy for VP of Risks
The VP of Risk must ensure that AI does not introduce unquantified exposures into the enterprise risk framework. As AI adoption accelerates, traditional risk registers need new dimensions covering model reliability, data quality, vendor concentration, and regulatory change. A mature AI risk program gives leadership the visibility they need to make informed decisions.
Primary Responsibilities
- Integrating AI systems into the enterprise risk register with quantified impact and likelihood scores
- Defining risk appetite and tolerance thresholds for AI use cases across the organization
- Establishing key risk indicators (KRIs) and escalation triggers for AI-related incidents
- Coordinating cross-functional risk assessments that include AI model, data, and vendor dimensions
- Reporting aggregate AI risk exposure to the board and executive leadership quarterly
- Ensuring business continuity plans account for AI system failures and third-party AI outages
Questions Auditors Will Ask
- How are AI-specific risks categorized and scored within the enterprise risk register?
- What key risk indicators do you monitor for AI systems, and what triggers escalation?
- Can you demonstrate that AI risk appetite has been formally approved by the board?
- How do you assess concentration risk when multiple business units depend on the same AI vendor?
- What scenario analysis has been performed for a critical AI system failure?
How PolicyGuard Helps
- AI-specific risk register integration with automated scoring aligned to NIST AI RMF
- KRI dashboards that track AI incidents, policy violations, and vendor health in real time
- Board-ready risk reports generated automatically with trend analysis and heat maps
PolicyGuard integrates AI risk directly into your enterprise framework with automated scoring, KRI tracking, and one-click board reports. Quantify AI risk instead of guessing.
