AI systems often behave well in demos but fail in surprising ways once they reach production. In this Ignite talk, I will share real lessons from deploying AI systems and why many of them break under real users, real data, and real pressure. I will highlight common issues like missing observability, over-trusting AI outputs, and ignoring human behavior in system design. This talk is about what happens after launch and what DevOps teams can do to reduce risk, improve resilience, and design AI systems that work in the real world.