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Mortgage Call Report Q&A: What Examiners Want to See

The Mortgage Call Report is one of the most examined regulatory filings in mortgage lending — and most compliance teams are treating it like a simple data submission exercise. Regulators are treating it as a risk signal. Here’s what every Mortgage Call Report filer needs to understand about how examiners actually review your submission.

Q1: What Are Examiners Actually Looking for When They Review Our MCR?

Most compliance teams treat the MCR as a data submission exercise. Regulators treat it as a risk signal.

State financial examiners don’t just check whether you filed — they cross-reference your MCR data against your HMDA submissions, your BSA/AML filings, your licensed MLO count on NMLS, and your audited financial statements. When those numbers don’t reconcile, you get an examination finding — not a conversation, a finding.

Specifically, examiners are flagging:

  • Servicing portfolio totals that don’t match investor reporting — the most common Expanded MCR trigger
  • MLO headcount that diverges from state licensing records — particularly after a layoff round or MLO migration
  • Denial rate spikes without accompanying explanation — regulators are acutely focused on adverse action patterns
  • Origination volume that doesn’t correlate with your stated product mix — a lender claiming $200M in originations but only two loan products raises questions

The takeaway: your MCR shouldn’t be assembled in the filing window. It should be reconciled continuously against your other regulatory outputs throughout the quarter.

Q2: What Actually Changed With MCR Form Version 7 — and What Filers Are Getting Wrong?

Starting Q1 2026, MCR FV7 replaced FV6 as the mandatory submission format. The headline change was structural consolidation — FV6 eliminated the separate Standard and Expanded MCR forms in favor of a single filing with conditionally required fields based on company type and license profile. But the practical implications run deeper than the form redesign.

The most common FV7 filing errors we’re seeing:

Servicing portfolio segment misclassification. FV7 restructured how servicing activity is reported across investors. Companies that didn’t update their internal data mappings before the Q1 2026 window opened are reporting data under old categories — meaning the numbers don’t align with what state regulators are now expecting to see.

Ginnie MaeIssuer-specific data gaps. FV7 introduced new conditional fields for Ginnie Mae Issuers that weren’t present in FV6. If your compliance team built your FV7 filing template from FV6 documentation rather than the current NMLS field definitions and instructions, you’re almost certainly missing required fields.

State-specific supplemental attachments. Texas’s new supplemental filing requirement — effective Q1 2026 for companies engaged in third-party processing or underwriting — is a separate submission from the NMLS MCR. Several lenders treated it as part of the MCR filing and either missed it entirely or submitted incomplete data.

Q3: How Do You Handle MCR Reporting When You Have both State-Licensed and Federally Chartered Entities?

This is one of the most complex MCR scenarios in the industry, and it’s becoming more common as large bank mortgage subsidiaries and credit union service organizations navigate dual chartering structures.

When a company operates both state-licensed entities and federally chartered affiliates, the MCR reporting obligations do not consolidate at the parent level — they file separately through NMLS for each licensed entity. The data must reflect only that entity’s activity, not the consolidated group.

The practical compliance challenge is cost allocation and data allocation. State regulators have increasingly scrutinizing whether shared services (compliance technology, QC staff, accounting functions) are being allocated appropriately across entities — particularly when one entity appears unprofitable while the parent is profitable. examiners are beginning to ask for supporting documentation on cost allocation methodologies.

Additionally, if your state-licensed entity services loans for your federally chartered affiliate, you may have MCR servicing data that needs to be reconciled against a separate federally required reporting framework — and the numbers must match.

Regulatory Updates

Fannie Mae & Freddie Mac AI Governance: What Lenders Must Do

Two GSEs, Two Deadlines, One Compliance Reality

The mortgage industry has entered a new era of AI governance — and this shift is coming from the two government-sponsored enterprises, not just federal agencies.

On March 3, 2026, Freddie Mac updated its Seller/Servicer Guide Section 1302.8, establishing formal governance requirements for any seller/servicer using artificial intelligence or machine learning in connection with mortgages sold to Freddie Mac. Then, on April 8, 2026, Fannie Mae issued Lender Letter LL-2026-04 — its own AI/ML governance framework for single-family sellers and servicers — effective August 6, 2026.

Together, these mandates create a dual-layer compliance obligation affecting virtually every lender operating in the conventional space. Whether you sell to Freddie Mac, Fannie Mae, or both, your AI governance infrastructure is now under regulatory scrutiny that didn’t exist twelve months ago.

What Freddie Mac Requires (Section 1302.8, Effective March 3, 2026)

Freddie Mac’s guidance, issued under Bulletin 2025-16, sets the baseline. Any seller/servicer using AI or ML in loan origination or servicing must establish a clear, documented governance framework covering:

  • Policies, processes, and procedures governing AI/ML adoption and use throughout the loan lifecycle
  • Risk management actions for AI/ML systems — how the lender identifies, assesses, and mitigates AI-related risk
  • Senior management approval of AI/ML policies — a higher bar than simply documenting them
  • Indemnification obligations — lenders assume full responsibility for AI-driven decisions, including outcomes from vendor-provided AI tools
  • Compliance with applicable law and Freddie Mac Purchase Documents

The indemnification obligation deserves special attention. If a lender’s vendor supplies an AI-driven underwriting tool that produces a discriminatory outcome, the lender — not the vendor — bears accountability to Freddie Mac. Vendor due diligence is no longer optional.

What Fannie Mae Requires (LL-2026-04, Effective August 6, 2026)

Fannie Mae’s Lender Letter LL-2026-04 takes effect August 6, 2026 — giving lenders a longer runway than Freddie Mac’s mandate, but no less urgency.

The framework requires single-family sellers and servicers to maintain a documented, actively maintained AI/ML governance program including:

  • Written policies and procedures covering the full life cycle of any AI/ML system — from development to ongoing maintenance
  • Annual policy reviews with a designated owner responsible for implementing, maintaining, and updating policies
  • Trustworthy and ethical AI principles incorporated into the lender’s governance approach
  • Information security compliance per Fannie Mae’s Information Security and Business Resiliency Supplement
  • Vendor and subcontractor governance — AI/ML risk management standards must extend to any third-party tool, with protections no less robust than the lender’s own
  • On-demand disclosure — upon request by Fannie Mae, lenders must promptly disclose AI/ML technologies deployed, their intended purposes, and risk safeguards in place

Fannie Mae’s requirements are less prescriptive than Freddie Mac’s in some areas — but they compensate with annual review obligations, designated ownership requirements, and explicit disclosure authority that gives Fannie Mae visibility into the AI tools lenders are using.

The Overlap With the New Fair Lending Framework

The timing is not coincidental. The CFPB’s April 2026 Regulation B final rule — shifting fair lending enforcement from a disparate impact to an intent-based standard — takes effect July 21, just weeks before Fannie Mae’s August 6 deadline.

If a lender uses AI-driven underwriting or pricing models and those tools produce discriminatory outputs, intentional use of that tool could constitute intentional discrimination under the new ECOA framework. Fannie Mae’s governance framework, with its emphasis on trustworthy and ethical AI, becomes a lender’s first line of defense — evidence that AI tools were deployed responsibly.

This means your AI governance documentation is no longer just a GSE compliance obligation. It is a fair lending defense. Quality control (QC) programs need to account for this intersection — reviewing whether AI tool outputs are defensible under the new intent-based standard.

Building a Compliant AI Governance Framework: Where to Start

Inventory your AI/ML tools. Identify every AI or machine learning system used in loan origination, underwriting, pricing, or servicing — including vendor-supplied tools.

Establish written policies and procedures. Both GSE frameworks require documented policies covering the full AI/ML lifecycle, reflecting legal requirements, ethical AI principles, and your institution’s risk tolerance.

Designate an owner. Fannie Mae requires a designated owner for annual reviews; Freddie Mac requires senior management approval. These establish internal accountability — and external defensibility.

Extend governance to vendors. Lenders bear responsibility for AI tool outcomes regardless of vendor involvement. Third-party AI vendors must be subject to the same governance standards.

Integrate AI governance into your quality control program. Quality control reviews should assess AI tool outputs, document governance compliance, and verify that AI-driven decisions are defensible under the new fair lending framework.

The Bottom Line: AI Governance Is Now Mortgage Compliance

Fannie Mae and Freddie Mac have made their position clear: AI governance is not a future consideration — it is a present obligation. With Freddie Mac’s deadline already passed and Fannie Mae’s approaching, lenders without established frameworks are exposed on multiple fronts.

The stakes go beyond GSE compliance. Ungoverned AI tools can expose lenders to fair lending liability, investor repurchase risk, and regulatory enforcement — particularly as the CFPB’s intent-based fair lending standard takes effect.

At Synergy, we help mortgage lenders build and maintain AI governance frameworks that satisfy GSE requirements and hold up under regulatory scrutiny. Our QC platform integrates AI governance assessment into your broader compliance program — so you’re covered on every front.

Need help building or reviewing your AI governance framework before the August 6 deadline? Contact Synergy to speak with a compliance specialist, or book a demo at simplifyqc.com.

Regulatory Updates

CFPB Fair Lending Rule 2026: What Mortgage Lenders Must Do Before July 21 to Stay Compliant

What the CFPB Fair Lending Rule Means for Mortgage Lenders

The CFPB fair lending rule issued April 22, 2026, is one of the most consequential shifts in mortgage fair lending enforcement in decades — and it takes effect July 21. If your QC program hasn’t been updated to reflect the new intent-based standard, you’re behind.

For mortgage lenders, servicers, and quality control professionals, this is not a routine update. It is one of the most consequential regulatory shifts in fair lending enforcement in decades. And with the July 21 effective date approaching fast, lenders who haven’t begun adapting their compliance frameworks need to act immediately.

What Changed: Understanding the Regulation B Final Rule

The End of Disparate Impact Under Regulation B

The most significant change is the removal of the disparate impact standard from Regulation B. For years, lenders could be held liable under ECOA even without evidence of intentional discrimination — if a policy or practice had a “disproportionate adverse impact” on a protected class, and the lender couldn’t demonstrate “business necessity.”

The CFPB’s final rule eliminates this framework. ECOA, as interpreted through Regulation B, is now an intent-based statute. Liability will require showing that a lender intentionally discriminated on a prohibited basis.

It is critical to note: this change applies specifically to Regulation B. Other federal fair lending laws — including the Fair Housing Act — retain their disparate impact frameworks. HUD’s separate rulemaking on the FHA’s disparate impact standard remains ongoing. Lenders must not conflate the two.

Narrowed Discouragement Standard

The rule also tightens what constitutes “discouragement” under Regulation B. The prior standard captured a broad range of statements, practices, and even inaction that could discourage applicants. The new rule limits discouragement to explicit exclusionary messaging — making it harder for regulators to pursue claims based on ambiguous or indirect conduct.

New Restrictions on Special Purpose Credit Programs

Special Purpose Credit Programs (SPCPs) — programs designed to address historical discrimination by extending credit to underserved borrowers — remain permitted but face new procedural requirements and limitations under the final rule.

Why the CFPB Issued This Fair Lending Rule

The CFPB under Acting Director Russell Vought framed the rule as a return to “core statutory principles,” arguing that disparate impact liability was not authorized by the text of ECOA. The regulatory relief narrative also fits within the broader policy direction of the March 13, 2026 Executive Order, “Promoting Access to Mortgage Credit,” which signaled an intent to reduce compliance burden on lenders, particularly smaller institutions.

What This Means for Your QC Program

The elimination of disparate impact does not mean fair lending compliance becomes optional — it becomes different.

From Statistical Scrutiny to Intent Review: Your QC processes likely include statistical analysis — HMDA data reviews, denial rate comparisons across demographics, pricing disparities. While these remain valuable compliance tools, the legal standard for liability has shifted. QC teams must pivot toward identifying specific discriminatory intent in individual transactions or clearly discriminatory policies.

Updated Policies and Procedures: Lender fair lending policies must be updated to reflect the new intent-based framework. Discouragement policies, in particular, need to be redrawn to reflect the narrowed standard. Failure to update internal guidance before July 21 creates immediate mortgage compliance risk.

Enhanced Documentation of Intent: When reviewing loan files for fair lending red flags, QC reviewers should document not just statistical patterns but evidence of intent. What was said, what was written, what policy decisions were made — these become the evidentiary basis under the new standard.

AI/ML Accountability Gains New Urgency: Freddie Mac’s AI/ML governance requirements, codified in Guide Section 1302.8 and effective March 3, 2026, remain firmly in force and gain new importance in this environment. If a lender’s AI-driven underwriting or pricing models produce discriminatory outputs, intentional use of that tool could constitute intentional discrimination — regardless of the removed disparate impact standard. Lenders bear full responsibility for AI-driven decisions affecting loan outcomes.

HUD Fair Housing Act Remains Separate: Don’t conflate the Regulation B change with the Fair Housing Act. HUD has signaled a narrower enforcement focus, but the FHA’s disparate impact standard is a separate legal question. Both laws remain active and enforceable.

Key Action Steps Before July 21, 2026

1.Audit your fair lending QC protocols. Identify where your current program is built around disparate impact analysis and adapt accordingly.

2.Update internal policies and procedures. Align policy language with the new intent-based standard and narrowed discouragement definition.

3.Retrain QC staff and underwriting teams. Ensure everyone understands the shift from statistical to intent-based review.

4.Review all SPCPs. Confirm that any special purpose credit programs your institution offers meet the new procedural requirements.

5.Stress-test your AI governance framework. If you use AI or ML in loan origination, underwriting, or servicing, confirm that your governance documentation satisfies Freddie Mac Section 1302.8 requirements.

6.Engage legal counsel. Given the scope of this change, legal review of your compliance program before the effective date is strongly recommended.

The CFPB Fair Lending Rule in the Context of 2026 Regulatory Changes

The Regulation B final rule is one piece of a broader reshaping of mortgage regulation. The March 13 executive order also directs the CFPB to reconsider ATR/QM requirements and potentially modify TRID disclosure rules. HUD has updated fair housing guidance. Annual Regulation Z threshold adjustments took effect January 1, 2026. The volume of change is significant, and lenders who adapt fastest — with sharp, well-informed QC programs — will be best positioned to navigate the months ahead.

Stay Ahead of the Compliance Curve

The mortgage regulatory landscape in 2026 is shifting faster than many anticipated. New fair lending standards, AI governance mandates, executive orders on credit access — the pace of change demands more than static compliance procedures. It demands a proactive, adaptive quality control partner.

At Synergy, we specialize in helping mortgage lenders and servicers stay ahead of these developments. Our quality control and compliance solutions are built to evolve as the regulatory environment shifts — so your team doesn’t have to manage it alone.

Ready to review your QC program ahead of the July 21 effective date? Contact Synergy today to speak with a compliance specialist or book a demo of our quality control platform at simplifyqc.com.

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