All SNAP applicants upload images to support their applications. Agency staff need to manual verification and parse images which can be time-consuming and onerous, leading to delays, missed deadlines, and errors. 

Our Intelligent Document Processing (IDP) solution uses smart image technology to improve image quality and data accuracy. 

Example features

Image assessment

• Prevents image degradation during upload

• Checks image quality in real-time

• Provides users with immediate feedback and guidance if issues are detected

Automatic data entry

• Uses Optical Character Recognition (OCR) to “read” the uploaded documents and convert image data into a format your system can easily process

• Automatically extracts and sorts key information and fills out relevant fields in the application

Example outcomes

• Fewer errors due to poor image quality

• Reduced workload for caseworkers

• Streamlined application process

When applicants don’t know the status of their claim, they might submit duplicate claims or contact the call center multiple times. This can confuse applicants and strain call centers. 

Nava will help you implement a self-service claim status tracker that enables applicants to easily check their SNAP applications and renewals. 

Example features

• Ability to check claim status by providing key personal information; no login required

• Detailed claim status updates

• Instructions on next steps, such as submitting documents or attending a phone interview

• Ability to submit documents directly from the tracker

• Instructions on what to do if the system can’t find your application 

Example outcomes

• Fewer duplicate claims

• Reduced call center volume

• Better user experience

Typically, there’s a 10 to 30-day window between case authorization and formal quality control review. This is an ideal time for agency staff to identify and fix errors. However, agency staff must review cases manually, which can slow the process of identifying and resolving errors. As a result, agency staff are overextended and struggle to properly review cases before quality control (QC) begins. 

We recommend implementing a reporting system that automatically checks for common errors. This technology uses rule-based logic to identify discrepancies and errors in applications. Then, it creates a pre-scanned, prioritized list of high-risk applications for agency staff to vet.

Example features

• Ability to identify, add, or track SNAP rules

• Simple UI with filters and discrepancy detail modals

• Ability to take action on a high-risk claim   

Example outcomes

• Streamlined review process that helps staff prioritize critical, high-risk cases

• More efficient error identification before a claim hits QC

Often, SNAP applicants must manually submit documents to verify their income. This process can be slow, confusing, and lead to errors. 

Nava’s consent-based income verification technology lets applicants verify their income automatically through their payroll provider or tax agency.

Example features

• Seamless integration between SNAP application and income verification

• Ability to directly access verified income data

• Third-party data support to ensure eligibility determinations align with policy and reduce error rates

Example outcomes

• Faster claims decisions by pulling income data directly from trusted sources

• Less paperwork because applicants don’t need to submit income documents

• Fewer errors as a result of using verified data

• Reduced burden on caseworkers