How To Ensure Locked-down Compliance During Hmda Reporting Season, And Year-round

HMDA reporting season has just wrapped as financial institutions were required to submit detailed data from the previous calendar year’s mortgage applications and loans to their regulators by March 2nd. But for compliance professionals at community banks, the work doesn’t stop there. 

HMDA reporting has become less about “checking the box” and more about defending data under scrutiny year-round. Manual review, scattered systems, and last-minute validation place an undue burden on lending and compliance operations.

In this article, we share how automation supports verification and exception handling across the loan lifecycle, keeping your institution prepared and compliant all year long.

Common issues cited in HMDA compliance

Reg C of the Home Mortgage Disclosure Act (HMDA) requires financial institutions to collect specific data points on all applications, originations, and purchases of “covered loans.”

HMDA and fair lending scrutiny has increased in recent years as regulators have placed increased pressure on financial institutions to deliver clean data with leaner teams. As a result, risks tied to post-approval document errors and manual review are growing. The Federal Reserve named HMDA/Reg C violations as the top-reported issue for state member banks in 2024, representing 38% of all cited consumer violations. Furthermore, failing to provide sufficient data for one or more HMDA data fields was the most common issue cited by the FDIC.

It’s true that the current administration in Washington has prioritized a deregulation agenda for financial services, signaling that compliance relief is on the way for community financial institutions in 2026. For example, the Consumer Financial Protection Bureau (CFPB) recently announced a slight increase in the minimum asset threshold for HMDA reporting, from $58 million to $59 million.

But this doesn’t mean regulatory oversight is going to decline in 2026. That’s because regulators rely heavily on HMDA data to support a range of examinations and investigations, including CRA evaluations, fair lending exams, and long-term research projects and policy initiatives.

Community banks face several challenges

When HMDA data quality declines, it has downstream effects on safety and soundness, fair lending, and supervisory control. Therefore, any perceived slippage across the industry can be expected to result in pushback from regulatory examiners on governance and controls.

HMDA compliance and reporting presents community banks with a range of challenges. These include ensuring that required data is reported with integrity and accuracy, maintaining comprehensive quality checks throughout lending processes, and having systems in place to prove that these controls and checks are working properly.

When data is disconnected and scattered across multiple areas of the bank, including email inboxes, manual spreadsheets, and paper documents, it’s a recipe for error and inefficiency. Your bank’s credibility with examiners is at risk if all required data is not accurate, organized, and readily available to produce on demand.

4 Ways automation enhances HMDA reporting

As the regulatory landscape continues to evolve, banks must adapt their operations to comply with ever-changing requirements. Automation has emerged as a key catalyst for modernization, helping institutions navigate this challenge efficiently. Here are four ways automation helps ease the compliance burden in HMDA reporting:

1. Reduces risk and rework: HMDA errors love to hide in property location, census tract, and other geographic fields. Automation can help minimize the occurrence of such errors by auto-validating property location inputs through address normalization, demographic data, credit scoring, and consistency checks. By flagging missing or suspicious values at loan origination instead of year-end, automation can minimize rework and reduce risk when it matters most.

2. Supports exception-based workflows: To streamline HMDA reporting, it’s time for banks to shift from full-file checking to exception-based reviews. By focusing only on those files with missing or inconsistent data, compliance departments can effectively reduce the time and manual effort spent on largely redundant review processes. Automated exception-based workflows also enable compliance professionals to initiate compliance reviews more frequently, enhancing data integrity and quality.

3. Creates a single source of truth before submission: Another way to ensure data integrity is by locking down a single, authoritative dataset for HMDA report validation, internal reviews, and final submission. Automation is invaluable in maintaining such a single source of truth and preventing overrides unless an exception reason and evidence are provided.

4. Enhances quality control: Stronger quality control (QC) leads to cleaner data and greater efficiency. This boosts examiner confidence and creates a positive ripple effect across multiple areas of the organization, including compliance and operations. Automation serves as a powerful enhancer of QC by reducing opportunities for data entry errors and manual missteps.

Maintaining compliance in a changing world

In the world of banking compliance, the one constant is change. Community banks must prepare today to meet the requirements of an ever-evolving regulatory landscape that prioritizes data integrity, consumer protection, and institutional safety and soundness. Automation can help banks maintain secure, efficient lending operations—empowering growth in a competitive and dynamic environment.

John Roper is the Chief Revenue Officer at Continuous.
This column does not necessarily reflect the opinion of HousingWire’s editorial department and its owners. To contact the editor responsible for this piece: zeb@hwmedia.com.