As predictive and prescriptive analytics and artificial intelligence become more prevalent in enrollment management, institutions face both excitement and uncertainty about what these tools mean for their culture, teams, and decision-making. This session will explore how higher education leaders and partners can navigate the early skepticism that often accompanies new technology and steer their campuses toward confident, strategic adoption. Presenters from Liaison, including a campus-facing client success director and a former enrollment VP user turned sales leader, will share lessons learned from implementing predictive analytics at multiple institutions of varying sizes and missions. The discussion will focus on real-world examples of how campus teams can address concerns about model transparency, data accuracy, and equity while building trust and engagement across departments. Attendees will leave with actionable strategies for leading through change, communicating effectively about AI tools, and fostering a culture where data-informed insights complement, rather than replace, human judgment.