How to Make AI Actually Useful at Work

Opening ChatGPT now and then isn't the same as working better. This session is about the gap between dabbling and real output: finding the repetitive, high-friction workflows worth automating, knowing when to reach for a prompt vs. a project vs. an agent vs. an API, and measuring what you actually save. With practical case studies, you'll leave with two or three workflows you can improve immediately — and a way to find more. What we'll cover: - Finding repetitive, high-friction workflows - Prompts vs. projects vs. agents vs. APIs vs. automation - How businesses are actually implementing AI - Practical case studies - Measuring time saved and output gained You'll leave with: Two or three workflows you can improve immediately, plus a framework for finding more.