About This Session
AI agents are rapidly becoming part of modern software, but many teams rush into building them without clearly defining the problem they’re solving or the role the agent should play.
This session takes a practical, product management–driven approach to building AI agents that deliver real value. Instead of focusing only on tools or frameworks, it introduces a structured way to evaluate when agents are the right solution, and when they are not.
We’ll walk through how to identify high-impact workflows for agents, define clear boundaries and levels of autonomy, and design for reliability in inherently probabilistic systems. The session also covers how product managers and engineers can collaborate effectively, manage uncertainty in agent behavior, and prioritize agent initiatives alongside core product work.
Through real-world examples and lessons learned, attendees will leave with a clear framework they can apply immediately to design, evaluate, and ship AI agent features responsibly and effectively.