AI Governance Resources
Our Blog
Blog: Practical guidance for operational AI governance.
What the New Fannie Mae and Freddie Mac AI Frameworks Mean for Lenders — and What to Do Before August 6
New AI Requirements from Fannie Mae and Freddie Mac: What Mortgage Lenders Need to Know
What changed, what stayed the same, and where your institution is now exposed.
SR 26-2 Replaced SR 11-7. But Left a Massive AI Governance Gap.
Most companies think they have AI governance handled — until an audit reveals blind spots. Learn why visibility is the #1 governance gap and how to build a framework that actually works.
AI Governance Explained: The Visibility Problem Most Companies Don't See Coming
Featured Resources
Working models, templates, checklists, and examples that help you inventory AI, assess risk, monitor change, document decisions, and prepare for scrutiny.
AI Governance Readiness Review
Book a 30-minute working session to identify gaps in your AI inventory, vendor oversight, workflows, monitoring, reporting, and audit readiness.
Use this resource when you want a clearer view of where your program stands and what to prioritize next.
AI Compliance Guide for Financial Services
Read practical guidance for financial institutions navigating AI inventory, vendor oversight, risk scoring, governance workflows, monitoring, and audit-ready evidence.
Use this guide to understand what a defensible AI compliance program needs to include.
AI Governance Committee Playbook
Download a practical operating model for AI governance committees, including intake, risk scoring, approvals, escalation, monitoring, KPIs, and audit readiness.
Use this playbook to move your committee from discussion to documented oversight.
AI Vendor Risk Checklist
Assess third-party AI vendors before and after approval with questions covering AI functionality, data use, model behavior, user controls, policy changes, and monitoring needs.
Use this checklist to strengthen third-party AI risk management.
