Public Benefit Program Integrity and Fraud, Waste, and Abuse

The Idaho Department of Health and Welfare is seeking vendor input on advanced analytics, AI/ML, and hybrid human‑machine solutions to detect, prioritize, and investigate fraud, waste, and abuse across several public‑benefit programs (SNAP, TANF, ICCP, and Medicaid beneficiary programs). The RFI will inform a future formal RFP; no contract will be awarded from this solicitation. The agency is interested in contingency‑based pricing models where compensation is tied to verified recoveries or cost savings, with no upfront cost to the state. • Scope includes data ingestion, advanced analytics, AI‑driven anomaly detection, cross‑program case prioritization, and integrated reporting dashboards. • The solution must support hybrid human‑AI review teams and integrate with existing state legacy systems and external data sources. • Implementation is expected to begin July 1 2027, following a selection process that may result in a multi‑program, contingency‑based contract.