Resources and Toolkits

Common Missteps on the Road to Lower SNAP Payment Error Rates

Guidance on state policy chocies that tend to increase SNAP payment error rates include requiring change reporting or monthly reporting, imposing asset tests, and limiting discretionary exemptions. In contrast, states can reduce errors by simplifying reporting requirements, using BBCE, applying exemptions, and using one-month lookbacks to minimize reassessments and ensure coverage for eligible populations.

Implementing Medicaid Work Requirements

Implementation-oriented framework to support states with adapting to community engagement/work requirements. Features overview of “look back” period and four-step compliance flow including: checking for automatic hardship, screening for exemptions, checking for participation, and allowing for requestable hardship.

Identifying Use Cases for AI in Medicaid Delivery

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.

Reducing Payment Error Rates for SNAP

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.