Kolena AI Agent
HMDA Review — Loan Application Data Extraction
Turn a residential loan application file into the full, cited HMDA LAR field set - including the Section 8 demographics read by vision-based checkbox detection - with reportability, action-taken, and FFIEC-style edit checks.
Impact
Full HMDA extraction from each application file - including vision-based recognition of the Section 8 demographic checkboxes that otherwise have to be read by hand - with every value cited to its Regulation C data point
per application
Volume fit
Works best for
lenders and mortgage-servicing operations preparing HMDA data across hundreds or thousands of applications per reporting cycle
Too small for
an institution below the HMDA loan-volume reporting thresholds, or a one-off single-file review
Typical inputs
Documents
- Residential loan application (URLA / Fannie Mae Form 1003 or equivalent)
- Demographic information addendum (Section 8)
- Transmittal summary / underwriting decision
- Loan Estimate / Closing Disclosure
- Action or denial notice
Systems
- Loan origination system (LOS)
- Document repository
- HMDA / LAR software
Output
A per-application HMDA record - the consolidated LAR field set with the demographic capture, a reportability and action-taken determination, edit-check findings, and an exception log, each value cited to its Regulation C data point
Delivered to
- HMDA / LAR software
- HMDA scrubbing queue
- Fair-lending analysis dataset
What it extracts
· 12 fields
- Form
Application Snapshot
The identifying spine of the file - ULI, application date, loan type and purpose, preapproval, action taken and its date, occupancy, and business-purpose flag - so a reviewer can orient before reading the record (12 CFR 1003.4(a)).
- Form
Property Information
The subject-property data points - location components, census tract, property value, construction method, unit count, and manufactured-home attributes - that HMDA requires for the dwelling securing the loan.
- Form
Loan Terms and Pricing
The loan-terms and pricing data points - amount, term, interest rate, rate spread, HOEPA status, lien status, non-amortizing features, and the loan-cost fields - drawn from the note or Loan Estimate / Closing Disclosure.
- Form
Applicant Financial Profile
The underwriting data points relied on in the credit decision - gross annual income, DTI, combined LTV, and the applicant and co-applicant credit scores and scoring models.
- Form
Applicant and Co-Applicant Age
The HMDA age data point for the applicant and first co-applicant as of the application date, reporting the whole-number age (not the date of birth) and noting where it was derived.
- Table
Ethnicity, Race, and Sex Checkbox Capture
The Section 8 government-monitoring capture - one row per applicant with every disaggregated ethnicity, race, and sex checkbox, read by vision from the actual markings only, never inferred from a name or any other cue (Appendix B to Part 1003).
- Form
Demographic Collection Method and Completeness
The compliance layer on the demographic capture - how the information was collected, whether visual observation or surname was used and was permissible, whether aggregate or disaggregated categories were used, and whether the collection is complete.
- Classification
Action Taken
The application's disposition standardized to the HMDA action-taken value (originated, approved-not-accepted, denied, withdrawn, file closed, purchased, or a preapproval outcome) under 12 CFR 1003.4(a)(8).
- Classification
Reportability Determination
Whether the application is HMDA-reportable, applying the covered-loan and dwelling definitions (12 CFR 1003.2) and the excluded-transaction tests (1003.3(c)), or flagging it for manual review.
- Table
HMDA Edit-Check Findings
Cross-field integrity checks mirroring the FFIEC syntactical, validity, and quality edit families - one row per check with its type, the data points involved, a pass/fail/review result, and the finding.
- Form
Consolidated HMDA LAR Record
The consolidated Loan/Application Register field set for the application, carrying the upstream values through into the data points enumerated in 12 CFR 1003.4(a), ready to load into the LAR.
- Table
Exceptions and Reviewer Notes
The exception log - one row per failed or unresolved edit check or demographic-integrity concern, with the cited rule, a severity, the finding, and a concrete corrective action for the reviewer.
Prerequisites
- The institution is a HMDA-covered filer for the collection year
- Access to the complete application file including the Section 8 demographic page
- Your LAR field mapping / filing layout for the collection year
Human review
A HMDA analyst reviews the flagged edit-check exceptions, the demographic capture, and the cited data points before the record is added to the LAR and filed.
Where it fits
HMDA data collection and reporting
Loan origination / servicing - closed and in-process residential loan application files (URLA / Form 1003 and supporting documents) flowing from the LOS or a document repository
This step
HMDA data extraction and LAR field preparation
After
Who uses it
Grounded in
- Home Mortgage Disclosure Act / Regulation C, 12 CFR part 1003verified as of 2026-07-22
- 12 CFR 1003.4(a) (Compilation of reportable data - the LAR data points)verified as of 2026-07-22
- 12 CFR 1003.4(a)(10)(i) and Appendix B to Part 1003 (Ethnicity, race, and sex - government monitoring information)verified as of 2026-07-22
- 12 CFR 1003.2 and 1003.3(c) (Covered loan / dwelling definitions and excluded transactions)verified as of 2026-07-22
- FFIEC HMDA Filing Instructions Guide (FIG), 2025 edition (edit-check specifications)verified as of 2026-07-22
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Appraisal Review
Run every appraisal through a productized USPAP review and classify it Accept, Accept-with-conditions, or Reject, with each finding cited to the report.
Change-in-Terms & Cardholder-Agreement Review
Test a credit card change-in-terms notice against Regulation Z: every changed term summarized, the 45-day advance-notice window and right-to-reject verified, penalty rate increases justified and reevaluation-eligible, and every required disclosure present and cited.
See HMDA Review — Loan Application Data Extraction on your documents
We'll run it against a file of yours and walk through every cited field.