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T3 FANNIE_MAE High Confidence Guidance

Lender Letter LL-2026-04 Governance framework on use of artificial intelligence and machine learning

Fannie Mae requiring comprehensive AI/ML governance framework for all seller/servicers using AI/ML in mortgage origination or servicing

HIGH
Impact Level
Top: Compliance (4)

Advisory Assessment

Impact. Fannie Mae is mandating comprehensive AI/ML governance frameworks for all seller/servicers, requiring formal policies within 120 days of the August effective date, designated policy owners, annual reviews, and extension of governance requirements to all vendors and subcontractors. This creates new cross-functional coordination requirements spanning compliance, risk management, technology, and operations with mandatory disclosure capabilities to Fannie Mae upon request.

Risk. Examination focus will concentrate on policy completeness and vendor oversight gaps, particularly where AI/ML systems lack clear ownership or where third-party relationships operate without appropriate governance extensions. Institutions using AI/ML through vendors without formal governance frameworks face the highest exposure for GSE compliance failures.

Recommended Action. Inventory all current AI/ML usage across origination and servicing operations, including vendor-provided systems, and assign a cross-functional project team to develop the required governance framework. Legal should review existing vendor contracts to identify amendment needs for AI/ML governance requirements before the 120-day policy deadline.

Watch. Monitor for Fannie Mae implementation guidance on disclosure requirements and vendor governance standards, particularly regarding what constitutes adequate AI/ML oversight for third-party relationships.

Classification

Regulatory Program
GSE Seller/Servicer Requirements
Doc Type
Guidance
Effective Date
2026-08-06
Days to Action
80
Comment Deadline
Published
2026-04-08

Urgency Basis

Effective date is August 6, 2026, which is 80 days from today (May 18, 2026)

Operational Context

Flags
Examination Focus Systems Change Required Legal Review Required Model Validation Trigger Ai Machine Learning
Affected Functions
Compliance Risk Management Technology Operations Legal
Institution Applicability
All

Impact by Category

Compliance
4
Operational
4
Data Governance
3
Model Risk
4
Reporting & Disclosure
2
Capital & Liquidity
0
Consumer Protection
3
Third-Party Risk
3

Key Requirements

- Establish comprehensive AI/ML policies and procedures covering development, implementation, use, and maintenance within 120 days - Ensure AI/ML policies incorporate trustworthy and ethical AI characteristics and legal compliance requirements - Designate policy owners responsible for implementation, maintenance, and annual reviews - Implement risk management activities aligned with institutional risk tolerance for AI/ML systems - Maintain capability to disclose AI/ML types, purposes, safeguards, and other details upon Fannie Mae request - Extend AI/ML governance requirements to all subcontractors and vendors using AI/ML - Comply with Fannie Mae Information Security and Business Resiliency Supplement requirements

Scoring Rationale

This represents a significant new governance obligation for mortgage lenders and servicers using AI/ML. The requirement for comprehensive policies, annual reviews, designated ownership, and vendor oversight creates substantial cross-functional implementation requirements. While not enterprise-restructuring (score 5), it requires dedicated project coordination across compliance, risk, technology, and operations with appropriate executive awareness.

Scored: 2026-05-18T20:01:23.707Z Model: claude-sonnet-4-20250514 Confidence: High Aggregate Score: 3.3
AI Analysis Disclosure — This record, including its scores, impact assessments, and Advisory Assessment (impact, risk, and recommended actions), was generated by an AI model and may contain errors or omissions. The Advisory Assessment is a starting point for analysis, not a substitute for professional judgment. Effective dates, applicability determinations, impact assessments, and any recommended actions should be independently verified against primary regulatory source documents and reviewed by qualified compliance or legal personnel before taking compliance action. This output does not constitute legal or compliance advice.