Why Most AI Features Fail After the Demo

How to build AI systems people actually trust, adopt, and keep using in production

AI features often look impressive in demos and disappointing in real life. The problem usually is not the model alone. It is workflow fit, trust, handoff design, user control, and product discipline.

This talk explores why AI products fail after the first wow moment, and what developers, product teams, and technical leaders need to do differently to build systems that survive production. Through practical examples, Akshay shows how to think about trust, feedback loops, decision boundaries, and real-world adoption so AI becomes part of everyday work instead of a novelty.

Attendees will leave with a practical framework for building AI features that create repeated value, not just initial excitement.