Gainwell Technologies’ latest program set to help states adapt to new SNAP rules

Health care tech firm Gainwell Technologies has launched a SNAP (Supplemental Nutrition Assistance Program) Integrity solution to help states strengthen the program’s accuracy and integrity and unlock new efficiencies.

The new tech combines predictive analytics, intelligent data matching, and artificial intelligence to empower agencies to deliver benefits more reliably while also safeguarding budgets.

With the passage of H.R. 1, President Donald Trump’s token “One Big Beautiful Bill,” states face new accountability standards for SNAP payment accuracy. While these changes introduce additional financial responsibility, they also create an opportunity for agencies to modernize operations, reduce errors, and build greater trust with the communities they serve, the company said.

Under federal legislation, states that have not reduced error rates to less than 6% by fiscal year 2026 will be required to repay a portion of SNAP federal funding and establish corrective action plans. Additionally, in fiscal year 2028, states will be required to pay between 5% and 15% of SNAP benefit costs, with the total amount based on payment error rates.

The implications could be significant for affected states.

In FY2024 alone, SNAP payment errors averaged 10.93% nationally, according to the U.S. Department of Agriculture, including $9.3 billion in overpayments.

And more than 40 states currently have error rates above 6% — with more than 20 states above 10% and facing the highest level of financial risk.

With those timelines approaching and federal funding tied to current fiscal-year performance, states have an incentive to reduce error rates quickly.

“States are under growing pressure to improve SNAP payment accuracy, and the stakes have never been higher,” said Bill Allison, Gainwell Chief Client Officer. “Our SNAP Integrity solution delivers the intelligence, speed and scalability agencies need to protect funding, reduce administrative strain, and restore public trust in essential benefit programs.”

Gainwell’s technology enables states to proactively reduce error rates and improve eligibility accuracy. The technology leverages decades of experience enhancing Medicaid integrity — a core Gainwell function — and is designed to coexist with states’ current systems and processes.

Its features include automated error prevention using predictive AI models and machine learning that flags high-risk cases early to prevent costly errors. It also uses streamlined interventions through people, processes and technology interventions and integrated data management to process massive datasets accurately and efficiently.

The features are meant to reduce overpayments, accelerate eligibility decisions, and strengthen compliance with federal quality control requirements.