This Solicitation opportunity from Georgia was posted on June 9, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Formal Verification and Other Methods for SNAP Error Rate Reduction
Contract Overview
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The Georgia Department of Human Services is seeking input from suppliers with proven experience in reducing SNAP payment error rates through innovative, operational models. This Request for Information targets solutions that have been implemented in real-world production environments, emphasizing practical results rather than theoretical research. The department is interested in approaches such as formal verification of eligibility logic, rules engine modernization, automated case reviews, and workflow redesigns focused on quality control, with a clear demonstration of their effectiveness in lowering error rates in other states or jurisdictions. The key goal is to identify methodologies that can be adapted to Georgia’s current eligibility systems to reduce the financial impact of SNAP payment errors. Interested parties are invited to submit their information by July 7, 2026, and responses should include concrete evidence of outcomes from prior implementations. The solicitation, identified as PE-42700-RFI-2026-000000012, is part of Georgia’s ongoing efforts to improve the accuracy and efficiency of SNAP benefit delivery, under the oversight of Addrenna Latham at the Department of Human Services.
General Info
Place of Performance
GA, USASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full Description
This RFI has a specific focus on reducing Georgia¿s SNAP Payment Error Rate. The SNAP Payment Error Rate has direct financial consequences for the State. DHS seeks to identify innovative operational models that have demonstrably reduced SNAP error rates in other states or jurisdictions and that can be practically applied within Georgia¿s existing eligibility environment.
The primary objective of this RFI is not to survey theoretical or research-stage approaches. DHS is specifically seeking respondents who have implemented an error-reduction model, whether through formal verification of eligibility logic, rules engine modernization, automated case review, QC-targeted workflow redesign, or other demonstrated methodology, in a production environment in at least one other state or jurisdiction, and who can provide concrete evidence of the outcome.
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