AI-assisted decision support for public benefits intake. Accountable, auditable, and human-supervised — purpose-built for the operational and governance requirements of government administration.
Public benefit programs — SNAP, Medicaid, CHIP — involve high document volume, complex eligibility rules, language barriers, and strict oversight requirements. Caseworkers face inconsistency, workload pressure, and documentation obligations simultaneously.
Most AI tools address only part of this. They extract data or flag eligibility, but don't close the loop with human oversight, audit logging, and governance documentation that agencies actually need.
AWS Textract OCR extracts structured data from uploaded documents — identification, income verification, residency proof — with high accuracy and format tolerance.
RAG-based LLM analysis applies the relevant program rules to extracted applicant data, flagging likely eligibility with citations to specific criteria and flagging ambiguities.
Every AI recommendation is presented to a caseworker for review and confirmation. Override is always available. No determination is final without human confirmation.
Full longitudinal audit trail capturing AI recommendation, caseworker action, timestamp, worker ID, and override rationale for every record processed.
Automated generation of AIA documentation, OMB AI inventory entries, and Spanish language parity dashboard — producing compliance outputs as a product feature, not a manual process.
Spanish-language support throughout the intake and review interface, with a dedicated parity dashboard tracking outcome consistency between English and Spanish-language applications.
Request a demonstration with your agency's specific use case in mind. We'll walk through the full workflow and governance posture, and answer technical and procurement questions.