Managing Your Vendors' AI Risk Checklist

When a vendor's AI goes wrong, your organization faces the consequences: compliance violations, operational disruptions, reputational damage, and financial losses.

Yet most vendor management programs weren't built to assess AI risk. You need to know what questions to ask, what documentation to review, and what contractual protections to put in place before problems emerge.

This checklist gives you a practical, step-by-step framework for managing vendor AI risk. It walks you through identifying which vendors use AI, determining how critical that AI is to your operations, assessing the risks through targeted questions and documentation requests, and mitigating those risks through internal controls, contract language, and ongoing monitoring.

Whether you're just starting to think about AI in your third-party ecosystem or looking to strengthen your existing oversight, this resource provides the clear, actionable guidance you need.

Download the checklist to learn:

• How to identify AI use across your vendor inventory
• What questions to ask vendors and what documentation to request
• How to mitigate vendor AI risks