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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 establishing comprehensive AI/ML governance framework for all seller/servicers to ensure safe, legal, and ethical deployment of artificial intelligence and machine learning technologies in mortgage origination and servicing

HIGH
Impact Level
Top: Model Risk (5)

Advisory Assessment

Impact. This Fannie Mae guidance requires mortgage lenders to build comprehensive AI/ML governance frameworks within 120 days, covering every artificial intelligence system touching origination or servicing workflows. The framework must include formal policies, assigned ownership, annual review cycles, vendor oversight protocols, and readiness to disclose AI usage details to Fannie Mae on demand.

Risk. Model risk management faces the highest exposure as examiners will scrutinize how institutions identify, catalog, and govern AI systems across the enterprise. Most institutions lack complete AI inventories and will struggle to demonstrate adequate oversight of embedded AI in vendor platforms, particularly in loan origination systems and servicing technologies.

Recommended Action. Launch an immediate AI/ML inventory project led by your model risk management team working with technology and vendor management to catalog every AI system currently in use. Simultaneously, task your legal and compliance teams with drafting baseline AI governance policies using Fannie Mae's framework as the foundation, ensuring alignment with existing model risk management policies.

Watch. Monitor for Fannie Mae's promised implementation guidance and examination procedures, which will clarify enforcement expectations and provide practical compliance examples. Track whether Freddie Mac issues parallel requirements that could create conflicting standards.

Classification

Regulatory Program
GSE AI/ML Governance
Doc Type
Guidance
Effective Date
2026-08-06
Days to Action
73
Comment Deadline
Published
2026-04-08

Urgency Basis

Effective date is August 6, 2026, which is 73 days from today (May 25, 2026), falling within the 30-90 day T2 range, but given this is guidance implementation requiring policy development, T3 is more appropriate for the 90-180 day action window

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
5
Reporting & Disclosure
3
Capital & Liquidity
0
Consumer Protection
3
Third-Party Risk
4

Key Requirements

- Establish 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 - Assign policy owners to implement, maintain, and conduct annual reviews of AI/ML governance framework - Comply with Fannie Mae Information Security and Business Resiliency Supplement requirements - Implement vendor and subcontractor AI/ML governance with equivalent protection standards - Prepare to disclose AI/ML types, purposes, and safeguards to Fannie Mae upon request - Communicate AI/ML policies to appropriate personnel with relevant job responsibilities

Scoring Rationale

This Fannie Mae guidance creates substantial new AI/ML governance obligations for mortgage lenders. Model risk scores 5 as this establishes comprehensive AI/ML governance requirements affecting all AI systems used in mortgage processes. Compliance and operational both score 4 given the cross-functional policy development and implementation requirements. Third-party risk scores 4 due to explicit vendor governance mandates. The 120-day implementation timeline places this in T3 urgency tier requiring immediate planning and resource allocation.

Scored: 2026-05-25T21:01:27.434Z Model: claude-sonnet-4-20250514 Confidence: High Aggregate Score: 3.6
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.