Document Analyzer
Tool that checks if supporting documents meet requirements
A major obstacle in applying for benefits is supplying and verifying all of the required supporting documentation. Nava Labs is experimenting with an AI-powered tool that can help automate or speed up tasks such as identifying document types, extracting required data, and providing real-time document quality feedback — helping avoid unnecessary delays and denials and saving time for caseworkers.
Why this matters
Most public benefit programs require applicants to submit documents that prove their eligibility. Often, it’s confusing and overwhelming for applicants to figure out which documents to submit, especially if they are applying for multiple programs with different requirements. If an applicant submits incorrect or insufficient documentation, it can lead to delays or even denials.
To alleviate this issue, navigators review applicants’ documents before they submit them. While this is a crucial step, it’s also time-consuming and labor-intensive. That’s why we’re developing an AI-powered tool that can automate or speed up tasks such as identifying and categorizing document types, extracting required data from documents, and providing real-time document quality feedback. We believe that such a tool could help navigators and applicants identify and address missing or incorrect documents early, avoiding unnecessary delays and denials. It might also help navigators match an applicant’s documents to program requirements and decrease the time navigators spend reviewing document details.
