When AI Pilots Show Promise, But Outcomes Stay Flat
By Mickey Baines. As institutions begin exploring new approaches to better interpret and act on student signals, AI is often one of the first places they turn.
In many cases, that exploration starts with pilots.
Teams begin applying AI to specific parts of their work—drafting and refining email and text campaigns, testing subject lines, responding to inbound student questions more quickly, or summarizing student records to prepare for outreach. Advisors and student support teams use it to triage common questions, identify next steps for students who have stalled, or capture and organize notes from prior interactions. Leadership teams use it to analyze large data sets, surface trends, and move more quickly from information to decision.