A case study describing how a 90-day generative AI (GenAI) pilot using Google’s Gemini tool was conducted across state agencies to assess productivity, creativity, and responsible use in government work.
Colorado Governor's Office of Information Technology (OIT)
This resource examines the role of Medicaid in West Virginia and documents how the post-pandemic Medicaid “unwinding” process affected residents, highlighting participant experiences and the program’s importance for health and economic stability.
A practical example showing how to estimate and structure firm-fixed-price costs for agile software development task orders using iteration-based pricing and performance metrics.
A practical framework from the UK Infrastructure and Projects Authority that helps government leaders plan, lead, and deliver complex transformation programs.
This toolkit provides guidance to help states implement Medicaid Advisory Committees (MACs) and Beneficiary Advisory Councils (BACs) in accordance with new federal requirements designed to strengthen beneficiary input in Medicaid program oversight.
This research visualizes the complex emotional and clinical stages of the maternal mental health experience, from initial pregnancy through postpartum recovery and the return to work.
A practical guide for advocates that explains how automated benefit notices are generated, where common notice failures originate, and how to push for effective fixes.
This blog analyzes how the One Big Beautiful Bill Act (OBBBA) will dramatically shift SNAP costs onto state governments, projecting massive budget increases and fiscal strain.
Through deeply reported case studies and insights from focus groups, this report provides an in-depth look at the impact of pandemic-era government spending on families.
This workshop guide offers teams an opportunity to jointly work toward understanding core problems impacting digital delivery in their organization. The guide is structured in two parts: (1) a Miro template and (2) a Facilitation Guide.
The team developed an AI-powered explanation feature that effectively translates complex, multi-program policy calculations into clear and accessible explanations, enabling users to explore "what-if" scenarios and understand key factors influencing benefit amounts and eligibility thresholds.
