No Students Turned Away: Scaling University Mentorship with AI Matching
Автор: MentorMatch AI | Mentrik AI
Загружено: 2026-02-18
Просмотров: 0
Описание:
University mentorship programs are supposed to help students thrive, but most campuses still run matching manually, using spreadsheets, email chains, and limited staff capacity. The result is predictable: slow onboarding, inconsistent matches, mentor drop-off, and too many students left without support.
In this episode, we break down why manual mentorship models fail at scale and what it takes to build a program where every student gets the right mentor and no student is turned away. We also explain how MentorMatch AI by Mentrik AI modernizes the full workflow: recruiting and onboarding mentors, capturing better participant data, and using AI-driven matching so universities can grow their programs without increasing administrative burden.
If you lead a mentorship program, student success initiative, alumni engagement, or career services, this episode will give you a clear blueprint for moving from manual limitations to scalable impact.
Learn more: Mentrik AI (MentorMatch AI) at mentrik.ai
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