Making agentic government work: 7 principles for safer, smarter AI adoption (www.nextgov.com)

The concept of "Agentic Government," put forth by Chris Radich, outlines a framework for federal agencies to effectively integrate AI and automation into their operations. Rather than merely modernizing by adding new tools, agencies are encouraged to focus on the orchestration of existing systems to enhance workflows, streamline processes, and ensure accountability. This approach has already yielded significant results in agencies like the Navy and Treasury, where document reconciliation cycles have been drastically reduced. The proposed seven principles emphasize coordination, human oversight, mission-driven outcomes, transparency, workforce empowerment, process redesign, and the strategic use of deterministic systems combined with AI. The significance of these principles lies in their potential to fundamentally shift how government agencies operate, turning fragmented automation efforts into cohesive, efficient systems that are focused on measurable results. By addressing common pitfalls—like siloed operations and opaque AI models—these guidelines aim to build trust and improve service delivery. As agencies adopt this operational model, leaders are urged to take immediate actions, such as inventorying existing automation tools, assigning governance roles, redesigning core workflows, and emphasizing employee training. This proactive approach to agentic government can transform AI from theoretical potential into a practical tool for enhanced mission impact.