Tune in Wednesday, April 23 at 2:00 PM EST

Federal agencies have spent the past two years piloting generative AI copilots and chatbots that summarize information and answer questions. Now the focus is shifting to agentic AI. Instead of supporting a workflow, agents execute parts of it, taking actions across systems and making conditional decisions. That introduces a different risk and operating model. Agencies must prepare for software that acts, from transportation operations centers coordinating response to State Department teams triaging service workflows. Early pilots suggest success depends less on model accuracy and more on orchestration, clear authority boundaries, auditability and real-time oversight. The core question is no longer what AI can generate, but what it is permitted to do.

In this webcast, Nextgov/FCW will convene senior government leaders to examine how agentic AI differs from chatbots, including guardrails like authorization controls, rollback capability, monitoring and accountability for machine actions. Speakers will discuss where humans must stay hands-on versus supervisory and which tasks agents fit best, such as logistics coordination, case routing, anomaly detection and cross-system data reconciliation. Drawing on lessons, leaders will outline how agencies can move from assistive AI to autonomous workflows while preserving trust and mission assurance.