You Bought the AI. Now What? How to Keep Your Implementation from Flopping

You bought the AI after an impressive demo and a signed contract. Then adoption slowed, results felt inconsistent and the tool stopped delivering what you expected. In this session, Dina Florian, Director of Enrollment Systems at Baylor University, explains why AI implementations often struggle after purchase and what makes them succeed in real environments. Drawing from hands-on experience testing, managing and fixing AI in production, she shows how over-engineering hurts performance, why prompting is not the same as training and why clear ownership determines whether AI drifts or delivers results. This is a practical conversation for teams already using AI and wondering why it has not clicked yet, as well as for those evaluating solutions who want to avoid expensive lessons later.