Manasi
Ghogare
Senior Technical Product Manager at Takeda Pharmaceuticals
"A Product Manager’s Toolkit for Building AI‑Powered Products"
"A Product Manager’s Toolkit for Building AI‑Powered Products"
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Session: A Product Manager’s Toolkit for Building AI‑Powered Products
AI is showing up in every roadmap, but turning AI capabilities into products that people actually trust and use is still difficult. This talk is for product managers who are being asked to “add AI” and want a practical, workflow‑centric toolkit.You’ll learn how to: identify the right points in a workflow for AI assistance; choose effective human–AI collaboration patterns; write AI‑specific user stories with clear context, control, and correction; and design experiments that measure workflow impact and trust. We’ll also cover common pitfalls - like over‑automation, unclear accountability, and ignoring data ownership.
Key Takeaways
- How to map end‑to‑end workflows and identify the right moments where AI can actually reduce friction or improve decisions.
- Practical guidance on when AI should suggest recommendations, when it should take action, and when humans must stay in control.
- Concrete examples of how to capture context, control, and correction in user stories.
- How to avoid common AI product pitfalls.
Bio
Manasi Ghogare is a Senior Technical Product Manager in digital health @ Takeda. She leads cross‑functional teams to design and deliver digital solutions that sit at the intersection of patient needs, clinical workflows, and responsible AI. With a background spanning product management, data‑driven decision making, and technology governance - Manasi focuses on turning complex problems into pragmatic, human‑centered workflows. She is particularly passionate about helping product teams move beyond “add AI” requests to build safe, useful, and adoptable AI‑enabled products.