AI is easy to demo, but much harder to use well in real work. This session explores how teams can move beyond one-off prompts and start applying AI and LLMs in practical ways that improve workflows, decision-making, and productivity. Rather than focusing on hype, this talk looks at what makes AI useful in day-to-day environments: clear use cases, human oversight, process design, and realistic expectations. Attendees will leave with a grounded understanding of where AI helps, where it creates friction, and how teams can move from experimentation to reliable value.