MISMO Targets Costly TRID Fee Cures With New Mortgage Fee Standardization Framework
MBA’s standards organization says inconsistent fee naming still drives costly redisclosures and rework, with fee-related cures affecting more than 30% of mortgage loans
MISMO has released a new white paper aimed at reducing one of the mortgage industry’s most persistent operational pain points: fee-related disclosure errors that continue to trigger costly cures, redisclosures, and post-closing remediation more than a decade after implementation of the CFPB’s TILA-RESPA Integrated Disclosure rule.
The paper, Fee Standardization in the Mortgage Industry, outlines how MISMO’s Consumer Facing Charge and Fee Guide could help lenders, title companies, investors, and technology providers improve consistency in how mortgage fees are named, structured, and transmitted across the loan lifecycle.
MISMO, short for Mortgage Industry Standards Maintenance Organization, a subsidiary of the Mortgage Bankers Association (MBA), said inconsistent fee naming and free-text data fields have remained a major source of operational inefficiency since the TRID rule replaced HUD-1 line items with consumer-facing fee descriptions in 2013.
Industry studies cited in the paper estimate fee-related cures affect more than 30% of mortgage loans and cost lenders approximately $1,200 per loan due to redisclosures, manual review, rework, and borrower reimbursement.
“Fee naming has been a longstanding source of friction and cost across the mortgage lifecycle,” said Brian Vieaux, president of MISMO. “By standardizing how consumer-facing fees are defined and exchanged, MISMO is helping the industry reduce rework, improve transparency, and deliver clearer, more consistent outcomes for borrowers.”
Released in September 2025, the Consumer Facing Charge and Fee Guide replaces inconsistent fee descriptions with a standardized library of approximately 200 fee names and definitions aligned with the MISMO Reference Model.
According to MISMO, the framework is designed not only to improve borrower-facing disclosures, but also to create greater consistency in the underlying loan data exchanged between lenders, settlement providers, investors, and secondary market participants.
That distinction could prove especially important for mortgage operations teams increasingly relying on automated workflows and API-driven data exchanges.
The white paper notes that a fee may appear correctly labeled on a Closing Disclosure while still being categorized differently in the underlying loan file, creating downstream issues for quality control reviews, investor delivery, and secondary market compliance processes.
For lenders, the operational implications extend beyond borrower communication. Standardized fee structures could reduce manual reconciliation work between loan origination systems, settlement platforms, and investor delivery systems as lenders continue seeking ways to lower fulfillment costs and improve efficiency.
The effort also aligns with broader industry discussions around AI governance and mortgage data standardization. Earlier this month, MISMO introduced its Framework for AI in Mortgage Ecosystems, or FRAME, initiative focused on responsible AI governance as lenders increasingly look to cleaner, standardized data structures to support automated compliance reviews, investor delivery and AI-enabled workflows.
The white paper was developed by MISMO’s Fee Modernization Development Work Group, co-chaired by Elizabeth Bowser of Fannie Mae and Suzanne Garwood of JPMorgan Chase. The group included representatives from lenders, title and settlement companies, investors, and mortgage technology providers.
MISMO said the Consumer Facing Charge and Fee Guide has achieved “Candidate Recommendation” status, meaning the standard has reached broad industry consensus and is considered ready for implementation.
The organization is encouraging lenders, title and settlement companies, investors, and technology providers to review both the white paper and the Consumer Facing Charge and Fee Guide as they evaluate future system and operational updates.
*This article was drafted with AI assistance and reviewed and edited by a human editor before publication.