This publication unpacks the rapidly evolving policy landscape surrounding the use of AI in SNAP case processing to support agency leaders across the country as they explore how advances in technology can overcome widespread challenges, enhance their program operations, and streamline service delivery processes.
American Public Human Services Association (APHSA)
This award documentation from the National Association of State Chief Information Officers (NASCIO) explains how agencies in Ohio used automation to support administration of public benefits programs.
National Association of State Chief Information Officers (NASCIO)
This study examines the use of robotic process automation (RPA) technologies by three state agencies—Georgia, New Mexico, and Connecticut—to administer the Supplemental Nutrition Assistance Program (SNAP). RPA is software that integrates with other programs to automatically complete repetitive processes that normally are performed by humans.
The Guide to Robotic Process Automation, including the RPA Playbook provides detailed guidance for federal agencies starting a new RPA program or evolving an existing one.
For the past year, modernization teams at the Department of Labor (DOL) have been helping states identify opportunities to automate rote, non-discretionary, manual tasks, with the goal of helping them speed up the time that it takes to process claims. This post provides more context on Robotic Process Automation (RPA) and potential use cases in unemployment insurance.
