At UPCEA MEMS 2025, enrollment and student‑success leaders mapped how AI could support each stage of a learner’s journey—from discovery and recruitment to completion and employer advancement. George Washington University’s Dr. Cody House and workshop participants stressed AI’s promise for personalization, but flagged legacy systems and fragmented ownership as barriers. The session highlighted concrete use cases—AI agents for lead routing, automated advising nudges, personalized onboarding and cohort re‑engagement—and urged institutions to prioritize data hygiene and governance before scaling. Vendors like Noodle were named as current partners in experimented pilots. The practical takeaway: campuses that invest in coherent data architectures and clear human‑in‑the‑loop protocols can deploy AI to reduce staff strain on recruitment and advising, but misaligned governance risks eroding trust and amplifying inequities.