Document processing

Department of Veterans Affairs · Aquia Nava II LLC

Vendor-reportedPublic sectorUnited StatesScaledPublic sectorNLP

Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.

Reported by aquia.us (vendor self-report). Checked against the source page on 2026-09-05. 4 of 4 figures below appear on that page word for word.

The problem

Approximately 25% of disability benefit claims couldn't be automatically classified, requiring manual review by VSRs and delaying decisions for Veterans.

What was deployed

Vendor
Aquia Nava II LLC
Products
Python FastAPI, Amazon Web Services (AWS) S3, Amazon Elastic Container Registry (AWS ECR), Datadog
Technique
NLP
Build or buy
Bought and customised
Deployment
Hybrid
Data used
Veterans' descriptions of medical conditions
Scale
thousands of claims daily

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

100%Conditions automatically classified upon submissionfrom 74%

100% of conditions are now automatically classified upon submission — up from just 74% before the expanded classifier went live.

Quoted word for word from the source

nearly 20,000Additional conditions automatically categorizedeach week

nearly 20,000 additional conditions are automatically categorized each week

Quoted word for word from the source

Manual classification work

The automation has reduced manual classification work by approximately 80%

Quoted word for word from the source · round percentage, no baseline given

4,131VSR working time savedannually

saving VSRs an estimated 4,131 hours — or 172 days — of working time annually

Quoted word for word from the source

sub-secondProcessing times

sub-second processing times

Quoted word for word from the source

Difficulties and limits

Sources

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