Nevada Deploys SAS AI to Thwart SNAP Penalties

The partnership centers on the SAS Payment Integrity for Food Assistance platform, which replaces traditional, sample-based quality control with automated risk scoring. Instead of relying on manual audits, the system analyzes every active case, allowing Nevada officials to triage high-risk filings and rectify mistakes before they escalate into systemic issues. Early results are already showing promise: in the first two months of the pilot, caseworkers identified $130,000 in monthly overpayments.

Kelly Cantrelle, Deputy Administrator at Nevada DSS, noted that the state is combining this analytics tool with continuous income evaluation to keep the error rate in check. The stakes are high, as federal regulations set to begin in 2027 could impose penalties ranging from 5% to 15% of total SNAP benefits on states failing to meet the six percent accuracy mandate. By integrating SAS Viya-based models into their monthly workflow, Nevada aims to move beyond simple estimation, shifting toward a precise, proactive defense against administrative errors and fraudulent claims.