The examples in this guide describe how peer-to-peer training and updated interview scripts can help connect residents to the benefits they are eligible for.
This guide highlights best practices in benefits access, showcasing how Michigan, New York City, and San José improve accessibility through plain language, multilingual translation, resident co-creation, and technology tools.
This resource outlines strategies for cross-enrollment outreach, which can break down silos between programs and reach applicants who may be eligible for under-enrolled benefits programs.
This is the summary version of a report that documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
This report explores Michigan’s implementation of the Pandemic Electronic Benefit Transfer (P-EBT) program. Drawing on interviews from individuals within the Michigan Department of Health and Human Services and input from SNAP participants via surveys distributed using the Fresh EBT app, this report provides insights into the strategies that enabled Michigan to roll out an entirely new program quickly and effectively.
This case study documents how Civilla partnered with the Michigan Department of Health and Human Services (MDHHS) to redesign and modernize online enrollment for the state’s largest benefit programs.
This handbook provides local governments with practical guidelines, best practices, and ethical considerations for adopting and using AI tools, emphasizing transparency, human oversight, and risk management.
Code for America helped expand GetCalFresh (a service that guides Californians through the SNAP application process and helps government deliver food assistance to people in need) from a small pilot into a statewide service. They also recently concluded a similar pilot in Michigan along with Civilla and the Michigan Department of Health and Human Services.
