At many companies right now, the directive is coming from the top: “We need AI in our product.” CTOs hear it from boards. Product leaders hear it from executives. Engineering teams hear it from everyone. Everyone except the end users, that is.

Drawing from real production systems, we’ll look at 10 AI-driven features that actually deliver value by automating work users currently struggle with. These pragmatic patterns will give you ideas where places you can use AI to reduce friction, save time, and get things right more often.

We'll explore how the real question isn’t “where can we add AI?” but “what problems can AI best solve for the users?” You’ll leave with practical examples for where AI might belong in your product, how to explain those decisions to leadership, and how to ship AI features that users actually want.