Internal AI hackathon learnings

Bansi recounts an internal hackathon where teams used the framework to build rapid AI prototypes, yielding strong insights.

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Episode notes

In this episode of the Future of UX Podcast, I’m speaking with Bansi Mehta, founder of Koru UX Design. We talk about one of the biggest challenges product teams face today:

Everyone wants to add AI to their product.
But very few teams know how to actually design AI features that create real value for users.

Bansi recently shared a framework her team uses internally to design AI-powered experiences. The framework is called Sense–Shape–Steer, and it helps teams move from vague ideas like “we should add AI” to well-designed AI features that solve real problems.

In this conversation we break down the framework step by step and talk about:

✨ why many AI projects fail before they even start
✨ how to identify real AI opportunities
✨ how to decide between copilot, conversational, or agentic experiences
✨ why storyboarding AI behavior matters more than pixel-perfect mockups
✨ and how teams can prototype and test AI features faster than ever

If you’re currently exploring AI features or designing AI-powered products, this episode will give you a practical way to think about it.

00:00 Intro
02:30 Bansi’s background in healthcare UX
06:50 Why most teams struggle with AI features
11:30 The Sense–Shape–Steer framework explained
20:00 Copilot vs agentic AI experiences
27:00 Storyboarding AI interactions
33:00 Rapid AI prototyping and experimentation
44:00 Why AI literacy matters for designers

Bansi Mehta (LinkedIn)
https://www.linkedin.com/in/bansi-mehta/

Koru UX Design
https://www.koruux.com/

Sense–Shape–Steer AI UX Framework
(Comment “SENSE” on Bansi’s LinkedIn post to get access)

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