State and local governments are moving beyond experimentation with generative AI and beginning to explore agentic AI systems capable of pursuing goals and initiating actions within defined parameters.
This paper examines what practical, responsible deployment looks like in the public sector, from human-in-the-loop design principles and data governance to multi-agent coordination across systems.
By focusing on readiness rather than novelty, government leaders can harness agentic AI to streamline operations, improve service delivery and maintain the accountability and public trust that define effective government.
