Product Management Challenges in Building Agentic AI Applications

How Agentic AI is Transforming Product Management and How to Build It Responsibly

As AI evolves from passive tools to autonomous agents, we face a fundamental shift in how intelligent systems interact with the world. In this session, we’ll explore the rise of Agentic AI — systems that can reason, reflect, act, and pursue goals with minimal human intervention — and the exciting new product management challenges that come with designing for autonomy.

We’ll dive into why traditional product management approaches fall short when AI is no longer reactive, but proactive — capable of multi-step reasoning, autonomous execution, and self-directed behavior. From defining the right use cases to managing unpredictable outputs, we’ll cover how to balance innovation with safety, usability, and compliance in modern AI product management.

What We Will Cover:

• Understand what Agentic AI is — and why it represents a new frontier in AI product development and product management.

• Explore the unique challenges of designing for autonomy: unpredictable behavior, cost implications, tool access, and long-term system adaptation — all key considerations for today’s product management teams.

• Learn how to define and scope agentic use cases that create value while maintaining control and oversight — a core task in agentic AI product management.

• Discover frameworks for building user trust, managing expectations, and ensuring data/AI governance, safety, and ethical compliance within product workflows.

• Unpack why traditional product management playbooks break down — and what new tools, mindsets, and methods are required for managing intelligent, agent-driven systems.

• Gain insights into designing user experiences that support transparency, explainability, and controllability in agentic applications — all essential in the next era of AI product management.

• Interactive Element: Through real-world examples and thought exercises, participants will reflect on how to scope, launch, and iterate Agentic AI systems while maintaining user trust, alignment, and ethical boundaries.