Most AI initiatives don't fail dramatically—they just fade away. "We're using AI" isn't the same as "our engineering teams are shipping better and faster because of it."

This talk highlights what most AI stories skip: focusing on real engineering pain and measuring impact across the delivery pipeline.

We'll start by identifying concrete challenges—not cool AI demos—like slow code reviews, context switching, on-call overload, or hard-to-find documentation. Then we'll look at designing agentic workflows tied to technical outcomes: reduced lead time, better developer experience, and happier customers.

You'll see real-world examples of human-AI collaboration: where agentic workflows made a measurable difference, removed friction, and changed processes to unlock value. You'll see where human judgment and direction is needed and where AI is a real productivity booster. It's the combination of both that generates business impact. Never AI alone.