Outlines cases in which generative AI can be appropriately deployed by grounding use in human-centered problem statements. Highlights practical application such as data extraction, summarization, and entity resolution to reduce caseworker burden while maintaining responsible oversight.
Key questions for states to consider during procurement of new technical systems to ensure proper evaluation of product solutions and their effectiveness.
Repository of resources for state administrators to support the implementation of work requirement policies through overview of implications and recommendations of smart system designs and processes.
Key strategies to improve accuracy and efficiency of SNAP program delivery, including evaluating intervention impacts independently, developing strong proxy metrics, watching for unintended consequences, strategically reviewing most error-prone case elements and actions, leveraging new technology for caseworkers, and improving client communication and outreach.
Outlines four proactive strategies to design resilient and adaptable technical systems including feature flags, modularity, configurability, and phased approaches.
Blueprint on how work requirement policy impacts the process of SNAP application, determination, and maintained eligibility. Provides human-centered implementation recommendations such as focused support, ease of exemptions, discovery/comprehensive interview to capture compliance.
The passage of the One Big Beautiful Bill (also known as OBBBA or H.R. 1) in July 2025 mandated significant changes to key social safety net programs, including the Supplemental Nutrition Assistance Program (SNAP) and Medicaid. To meet these requirements and minimize coverage loss, states must update the technical infrastructure that powers their program delivery. Given the aggressive implementation timeline included in the bill, states are being flooded with pitches for technical solutions promising to “fix” the problem.