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RFI for Formal Verification and Methods Service for SNAP Error Rate Reduction

Overview


Management Consulting & Admin Support
Georgia, United StatesPosted: June 10th, 2026Deadline: July 7th, 2026

Fit Score


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SUMMARY


Georgia seeks information on proven services and methods, such as formal verification, to reduce SNAP program error rates, focusing on models effective in other states.

KEY REQUIREMENTS


TIMELINE


Deadline to Submit Written Questions: June 22nd, 2026

Responses to Written Questions: June 26th, 2026

Deadline for Submitting Responses: July 7th, 2026

QUESTION DEADLINE


June 22nd, 2026

Issuing Agency


Georgia Department Of Human Services

Organization overview and procurement intelligence available on paid plans.

DESCRIPTION


The government authority in Georgia is seeking information from vendors capable of providing formal verification and other innovative services to reduce error rates in the Supplemental Nutrition Assistance Program (SNAP). Qualified respondents should present proven operational models that have successfully lowered SNAP error rates in other states or jurisdictions and demonstrate the feasibility of applying those models within Georgia's current eligibility system.

The scope of interest includes, but is not limited to, solutions such as formal verification of eligibility logic, modernization of rules engines, automated case review, and workflow redesigns targeting quality control improvements. Vendors should have implemented these or comparable error-reduction models in live production environments in at least one other jurisdiction, with verifiable, concrete impacts on error rates.

Questions regarding this RFI must be submitted by June 22, 2026.

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Frequently asked questions

When is the submission deadline?
Submissions are due July 7, 2026. Questions must be submitted by June 22, 2026.
Who issued this RFP?
It was issued by Georgia Department Of Human Services. The work is located in Georgia, United States.
Who is a good fit for this opportunity?
  • Experience implementing SNAP error reduction solutions in multiple states
  • Expertise in eligibility logic verification, rules engine modernization, or automated case review
  • Demonstrated track record of measurable error rate reduction
  • Ability to provide concrete outcome data from previous projects with government clients

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