A book built alongside public research.

AI for Government is a practical field guide for public-sector leaders adopting AI under real-world constraints: tight budgets, small teams, skills gaps, legislative scrutiny, and rising pressure to deliver better services at lower cost. Moving beyond hype, theory, and one-time policy statements, the book shows how to turn AI ambition into durable operating practice. It guides readers through choosing the right use cases, defining value, evaluating risk, establishing security and privacy safeguards, managing vendors, driving workforce adoption, operating systems in production, controlling costs, and responding to failure and oversight.

Written for federal, state, and local government leaders, AI for Government is especially relevant for organizations working in lightly regulated, resource-constrained environments where external rules are limited but accountability is high. Organized around governance, execution, production operations, oversight, and public trust, the book offers actionable frameworks, decision tools, and implementation patterns that help agencies move quickly, responsibly, and with staying power.