Secret Agent Man: Why AI Agents May Change the Way Agile Teams Work

Why do we call them agents?
Think about a traditional intelligence agent. They have a mission, know where to look for information, uncover what matters, operate within boundaries, and report intelligence back in a useful context. Now imagine a network of specialized AI agents doing something similar across the information our teams generate every day.

In this session, I’ll share my hands-on journey building AI agents with Microsoft Copilot Studio to support real Agile work, including agents focused on Agile knowledge, team agreements, daily priorities, sprint readiness, backlog health, and delivery intelligence.
We’ll explore how specialized agents can gather different pieces of information, collaborate with other agents, and ultimately allow an orchestrator to bring those findings together into an actionable intelligence briefing for a human or team.

But this isn't just a Copilot Studio demo.

We'll talk about what this could mean for Scrum Masters, Product Owners, analysts, developers, coaches, and Agile teams. What happens when AI handles more of the searching, gathering, organizing, and first-pass analysis so people can spend more time on conversation, collaboration, judgment, and decisions?

We'll also discuss what I've learned when things didn't work: context overload, agent boundaries, unreliable information, instructions, integration challenges, human oversight, and why successful agents need clear missions and rules of engagement.

Most importantly, we'll discuss why now is the time to experiment.
You don't need to be an AI expert or developer to start. Agile practitioners already understand experimentation, feedback, inspection, adaptation, and incremental improvement. Those skills transfer remarkably well to building AI solutions.

The people experimenting today aren't gaining an advantage because they already know all the answers. They're gaining an advantage because they're learning which questions to ask.

Your mission, should you choose to accept it: get off the sidelines, build something small, learn what works, learn what doesn't, and start discovering what AI agents could mean for your work and your team!