The team explored the performance of various AI chatbots and LLMs in supporting the adoption of Rules as Code for SNAP and Medicaid policies using policy data from Georgia and Oklahoma.
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.
This report highlights lessons learned from improving economic stability and well-being outcomes for young parent families, focusing on interagency collaboration, community engagement, data-driven improvement, and aligned services to guide future efforts.
Building modular, open-source, human-centered software is necessary to create equitable government services fit for the digital age. Nava emphasizes addressing large scale digital service challenges by building and releasing small, modular software components that are loosely-coupled by well-defined APIs. This enables agencies to quickly and conistently deliver services that help people immediately, whilst also building a flexible foundation for long-term technical evolution.
Governments around the world are sharing custom-built software already, and have done so for many years. It’s vital, cost-saving, and meets the needs of users. This article provides examples of a range of different software sharing models.
