How do fleeting moments of customer feedback—like a conversation overheard on the subway—turn into scalable, build-ready product concepts? In this fireside chat, leaders from product operations, design, and research walk us through their emerging framework for transforming voice-of-customer data into validated product concepts using AI.

Attendees will get an inside look at how the team is operationalizing a proprietary AI primer to extract sentiment, reduce token limitations, and train narrow models that simulate expert roles (from product owner to designer) in real time. Learn how this cross-functional team validates AI-generated insights, builds feedback loops into design, and pushes AI-informed concepts from exploration to development—all without breaching enterprise data constraints.

You’ll leave with a clearer understanding of how to:

Convert unstructured customer feedback into actionable insight

Reduce hallucinations by narrowing model focus

Create feedback loops between operations, design, and research

Build scalable processes that integrate proprietary AI safely

Join us for a candid conversation on building trust in AI-powered decision-making—before the full story even hits the market.