Product Management Challenges in Building Agentic AI Applications | Community Webinar
#AgenticAI #AIProductManagement #ResponsibleAI
As AI evolves from passive tools to autonomous agents, product managers must adapt to a new era of intelligent systems that can reason, act, and make decisions independently. This session explores how Agentic AI challenges traditional PM approaches — and what it takes to design these systems responsibly.
We’ll cover how to manage autonomy, ensure safety and governance, and design user experiences that support trust and control in goal-driven, adaptive AI applications.
What We Will Cover:
- What Agentic AI is — and why it redefines the AI produ…
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Chapters (14)
Introduction and Why GenAI Product Management is Unique
2:22
What is Agentic AI? Understanding the Core Stack
4:10
The Hierarchy of Agent Capabilities
7:15
Key Components: Intent, Planning, Memory, Feedback
13:30
Top Challenges for Product Managers in Agentic AI
14:10
Turnkey GenAI is a Myth
18:00
Bias, Compliance & Privacy Hurdles
20:20
Why PMs Need Deep Technical Fluency
22:50
Designing Defensive UX & Guardrails
24:10
Managing Tradeoffs: Performance, Cost, Correctness
26:30
Introduction to MCP (Model Context Protocol)
28:55
Real-World Deployment Pitfalls
31:25
Live Q&A: Agile, Evaluation, and Model Distillation
39:45
Final Thoughts and Takeaways
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