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Tune in Thursday, 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.
Speakers
Ryan Dolan
Managing Director
AI and Data Centers of Excellence, GSA
Ryan Dolan
Managing Director
AI and Data Centers of Excellence, GSA
Ryan Dolan is the Director of the AI and Data Centers of Excellence at the U.S. General Services Administration (GSA), where he works with federal agencies to design, adopt, and scale artificial intelligence in support of mission delivery and operational outcomes. His work focuses on practical, responsible AI implementation, including automation, data strategy, and emerging agentic capabilities, with an emphasis on governance, oversight, and measurable impact.
From 2022 to 2025, Ryan also served as the Manager of the Federal AI Community of Practice, growing membership from 1,600 to more than 18,000 participants across the federal workforce. Under his leadership, the community supported large-scale workforce enablement efforts, including more than 50,000 hours of AI training delivered in the fourth quarter of 2024 alone and over 85,000 hours across 2023–2024, helping agencies build the skills needed to adopt AI responsibly.
At GSA, Ryan has led and advised AI and data engagements with agencies including the Centers for Disease Control and Prevention (CDC), Federal Housing Finance Agency (FHFA), and the Agency for Healthcare Research and Quality (AHRQ). His work includes supporting AI governance, procurement, and implementation efforts, as well as applied machine learning initiatives that improve efficiency, reduce manual workloads, and increase capacity. He regularly speaks on AI adoption, governance, and operational use of emerging technologies in the public sector.
Ryan often serves as an adjunct professor, teaching graduate students machine learning and applied artificial intelligence. While Ryan has been with GSA since 2022, he has served in the federal government since 2009. These roles include prior tech focused roles at the U.S. Census Bureau and the U.S.
Department of Justice - Civil Rights Division. He is a graduate of the University of Minnesota, Twin Cities and The College of St. Scholastica.
Matheus Passos
Acting Deputy Chief Information Officer and Acting Chief Technology Officer
Department of Commerce
Matheus Passos
Acting Deputy Chief Information Officer and Acting Chief Technology Officer
Department of Commerce
Matheus Passos serves as the Department of Commerce (DOC) Acting Chief Technology Officer (CTO) and Deputy Chief Information Officer (DCIO).
As the Acting CTO, Matheus provides direction and oversight to the Enterprise Architecture and Strategy, Emerging Technologies and Innovation, and Customer Experience Design & Digital Delivery directorates, to drive a cohesive enterprise posture. Additionally, in his capacity as the Responsible AI Official (RAIO), Matheus leads the DOC Artificial Intelligence Governance program and is a recipient of the 2026 Federal 100 and 2025 MeriTalk AI Honors Awards.
Prior to his current role, Matheus led the Department’s enterprise architecture program, providing guidance and standards to the agency’s $3.8B annual IT portfolio. Serving as the chairperson of the DOC Enterprise Architecture Council and working with executives across Commerce bureaus and operating units, as well as industry enterprise architects, Matheus’ personal passion is to increase technological agility, interoperability, and cost efficiency in the federal government.
Matheus is an experienced technologist with over 18 years of experience in the fields of strategy and execution, providing leadership in the areas of IT strategic planning, capital planning and investment management, project and program management, process and performance improvement, budget formulation and execution, federal statutory compliance, and government-wide policy development and advocacy.
Matheus holds a Bachelor of Science in Business Information Systems from Stevenson University and a Juris Doctor degree from The Catholic University of America, where his research focused on efficient and ethical government contracting. A strong believer in lifelong learning, Matheus holds a variety of professional accreditations and certificates, including the Project Management Institute’s Project Management Professional, Technology Business Management Council’s Certified Technology Business Management Executive, Federal Acquisition Institute’s Contracting Officer Representative, and George Washington School of Business’ Certified Project Manager.
Vassili Patrikis
Chief AI Officer, NSG
Microsoft Federal
Vassili Patrikis
Chief AI Officer, NSG
Microsoft Federal