AI Agents in Products: A Product Manager’s Guide to Building What Matters
AI agents fail when teams start with the tool instead of the workflow. Once the idea reaches a real workflow, the hard questions shift to context, trust, cost, and reliability. Reshmika Dhandapani uses "AI Agents in Products: A Product Manager’s Guide to Building What Matters" to show how product managers define boundaries, value, and reliability.
Session details
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.
Primary action
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Agenda facts
- Format
- Talk / Presentation
- Kind
- Conference Session
- Topic
- Product, UX, and Digital Experience
- Level
- Beginner
- Time
- Oct 29, 2026, 10:30 AM
- Room
- Room B
- Duration
- 60 min
Speakers
Link partners to speaker kits when available, or to the public speaker profile on mitechcon.net.
Reshmika Dhandapani
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LinkedIn
Session LinkedIn Post
AI agents fail when teams start with the tool instead of the workflow. Once the idea reaches a real workflow, the hard questions shift to context, trust, cost, and reliability. Reshmika Dhandapani uses "AI Agents in Products: A Product Manager’s Guide to Building What Matters" to show how product managers define boundaries, value, and reliability. 📅 October 28–30, 2026 📍 Oakland University, Rochester, MI 🔗 https://www.mitechcon.net/sessions/ai-agents-in-products-a-product-manager-s-guide-to-building-what-matters/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-ai-agents-in-products-a-product-manager-s-guide-to-building-what-matters #MITechCon #ProductManagement #AIAgents #AIProducts
Short social
Short Session Post
AI agents fail when teams start with the tool instead of the workflow. Learn how product managers define boundaries, value, and reliability. https://www.mitechcon.net/sessions/ai-agents-in-products-a-product-manager-s-guide-to-building-what-matters/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-ai-agents-in-products-a-product-manager-s-guide-to-building-what-matters #MITechCon #ProductManagement
Newsletter / email
Newsletter Or Email Blurb
Feature this MITechCon 2026 session in your newsletter or email: "AI Agents in Products: A Product Manager’s Guide to Building What Matters". AI agents fail when teams start with the tool instead of the workflow. Once the idea reaches a real workflow, the hard questions shift to context, trust, cost, and reliability. Reshmika Dhandapani uses "AI Agents in Products: A Product Manager’s Guide to Building What Matters" to show how product managers define boundaries, value, and reliability. Format: Conference Session. Topic: Product, UX, and Digital Experience. Level: Beginner. Scheduled for Oct 29, 2026, 10:30 AM in Room B. Learn more and share the session: https://www.mitechcon.net/sessions/ai-agents-in-products-a-product-manager-s-guide-to-building-what-matters/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-ai-agents-in-products-a-product-manager-s-guide-to-building-what-matters
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- Alt text
- Social share image for AI Agents in Products: A Product Manager’s Guide to Building What Matters at MITechCon 2026
- Dimensions
- 1024 x 1024px
- Size
- 500 KB
- Updated
- 2026-07-08