How leaders are learning to decide what matters, what scales, and what waits

As AI begins to show up in day-to-day work across enrollment, student success, and operations, many leaders are finding themselves in a familiar but hard-to-name moment. Activity is increasing. Experiments are underway. Some efforts are clearly helping. Others are harder to interpret. The challenge isn’t whether AI has potential—it’s how leaders make sense of progress, decide where to focus, and guide next steps before clarity fully forms. This session is designed to help leaders better understand what they’re encountering right now and how to respond with stronger judgment and confidence.

What You’ll Learn

• How leaders are judging AI efforts as they show up in daily work
  What signals matter early, what’s easy to misread, and how leaders are deciding which efforts deserve attention now versus later.

• Why AI progress often feels real but hard to explain
  How uneven results, local wins, and experimentation create uncertainty—and how leaders are learning to interpret progress without overcorrecting.

• The common patterns institutions encounter as AI becomes part of everyday work
  What tends to emerge across enrollment, student success, and operations as AI moves from experimentation into normal workflows.

• How leaders are guiding AI forward without rushing structure or scale
  A practical lens for determining next steps, engaging teams productively, and avoiding premature decisions around governance, staffing, or enterprise rollout.

This is not a theoretical conversation. This is about the new competitive landscape and what it takes to sustain AI momentum on campus.

Length: 45 minutes - THIS WEBINAR IS LIMITED TO 60 REGISTRANTS!