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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
VA · VA-25-4527 · record R2080

Disability Benefits Document Classifier

Department of Veterans Affairs · OIT: Office of Information & Technology

Overview

Development stage
In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation
High-impactSource: a) High-impact
Impact justification
Not reported
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Government Benefits Processing
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

As a Veteran submitting documents to support a claim, I want the VA to automatically classify my uploads so that I can avoid confusing dropdowns and feel confident my evidence will be reviewed and processed correctly. The burden currently rests with Veterans to classify/label their documents on VA.gov after manually uploading them. As a result: - Veterans face confusing submission experiences - Veterans overuse the "other/correspondence" document label - Veteran Service Representatives (VSRs) waste time opening mislabeled files in the Veterans Benefits Management System (VBMS) eFolder - Automation systems ignore incorrectly labeled evidence or misroute it (causing delays of up to 26 days)

Expected benefits

Automating this manual task saves time for Veterans applying for benefits, VSRs processing claims, and increases throughput and accuracy of downstream automation systems.

System outputs

For each document uploaded, our system returns the corresponding VA.gov/VBMS-defined document type.

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
Not reported
Custom-developed code
Not reported
Public source code
Not reported

Sourcing

How it was built
Not reported
Vendor (as reported)
Not reported
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
Not reported
Privacy Impact Assessment
Not reported
Authorization to Operate
Not reported
Demographic features
Not reported
Training and evaluation data
Not reported
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported