Working with AI Agents in the Public Sector: What Works (and What Doesn’t)
Fall 2026Live

Working with AI Agents in the Public Sector: What Works (and What Doesn’t)

Launch Date

November 16

30, December 7, and 14, 4 sessions, every Monday

About the Series

AI agents are systems that can autonomously retrieve information, use tools, and carry out multi-step actions to achieve goals. In government, early use cases include agents helping public professionals conduct research, prepare case files, analyze applications, coordinate workflows, and complete recurring administrative tasks. At the same time, residents are beginning to use agents to navigate government services, search for benefits, complete applications, understand eligibility requirements, and access personalized assistance.

Yet the term "AI agent" is often used loosely. Not every chatbot is an agent, and not every workflow needs one. As governments begin experimenting with these tools, important questions remain: What exactly are AI agents? How are they different from copilots, automation tools, and traditional software? Where are they creating value for public professionals and the public? What risks and limitations are emerging? And what does responsible adoption look like in practice?

This four-part webinar series explores how governments are beginning to use AI agents to support both internal operations and public service delivery. Through real-world examples, participants will learn where agents are proving useful, where limitations and risks are emerging, and what agencies are learning about governance, oversight, and responsible implementation

Learning Goals

  • Explain what AI agents are and how they differ from chatbots, copilots, workflow automation, and traditional software tools.
  • Identify current and emerging use cases for AI agents in government operations and public service delivery.
  • Assess when agentic approaches are likely to add value and when simpler technologies may be more appropriate.
  • Recognize key risks and limitations, including reliability, privacy, security, transparency, and accountability concerns.
  • Apply practical lessons from government experience to support responsible experimentation, governance, procurement, and deployment of AI agents.
Languages
Series
DateTitleDurationLed byModerated byLanguage
Nov 1620262:00 PM ET
Working with AI Agents in the Public Sector:…Coming Up

From Chatbots to Agents

AI agents are often described as the next generation of AI, but the reality is more nuanced. Most organizations move gradually from using AI for drafting and research to using AI that remembers context, automates tasks, coordinates workflows, and eventually ta…

60 min
EN
Nov 3020262:00 PM ET
Working with AI Agents in the Public Sector:…Coming Up

From Prompts to Workflows

Most public professionals use AI one task at a time. Agents offer the possibility of creating reusable workflows that can support recurring work. This session explores how agencies are using agentic workflows for research, communications, permitting, grants ma…

60 min
EN
Dec 720262:00 PM ET
Working with AI Agents in the Public Sector:…Coming Up

Bringing Agents to Work

Technology adoption is ultimately a people challenge. How do agencies help staff move from occasional AI use to meaningful integration into everyday work? This session examines strategies for workforce adoption, training, change management, experimentation, an…

60 min
EN
Dec 1420262:00 PM ET
Working with AI Agents in the Public Sector:…Coming Up

What Works—and What Doesn't

Agentic systems create new opportunities but also new risks. Drawing on lessons from early adopters, this session examines what agencies are learning about reliability, privacy and security, human oversight, transparency, accountability, and governance. Partic…

60 min
EN