AI in Admission | O.R.E. Report by The Innovation ForgeAI has entered the enrollment shop. Not as a pilot project, but as a full-fledged coworker. The Enrollment-orIn this episode of The Innovation Forge, we break down O.R.E. Report 002: AI in Admissions, examining how artificial intelligence is reshaping recruitment, admissions, financial aid, and student engagement across higher education.From chatbots and predictive models to AI-driven CRMs and automated outreach, the tools are already in use. The real question is no longer whether institutions will use AI, but how intentionally, ethically, and transparently they’ll forge with it.In this episode, we explore:How AI is shifting enrollment work from handcrafted effort to industrial-scale personalizationWhat the data actually shows about outcomes: yield, enrollment growth, staff capacity, and net tuitionWhere the risks live—bias, privacy, governance gaps, and over-automationWhy your data choices are now your values written in codeHow enrollment leaders can design guardrails without killing momentumThis isn’t a hype cycle. It’s a forge-floor conversation for Directors, VPs, analysts, and enrollment leaders who need to balance scale with stewardship.The anvil may be thinking now—but the responsibility still rests with the smith.About O.R.E. Reports The Innovation Forge's O.R.E. Report is a signal-reading project for enrollment professionals. Each O.R.E. Report distills research, trends, and field evidence into practical insight using the language of craft, pressure, and design to help institutions shape what comes next.Source OreEducationDynamics & UPCEA, Marketing and Enrollment Management AI Readiness Report 2025 – survey data on AI adoption, perceived effectiveness, and governance gaps in higher ed marketing and enrollment. - https://www.educationdynamics.com/uni... GoedMo EDU insights on the evolution of enrollment management from 2014–2025, including CRM and predictive analytics adoption trends. - https://goedmo.com/blog/how-is-enroll... Technolutions (Slate) AI feature documentation – examples of AI Reader, generative content, and automation features inside a widely used admissions CRM. - https://technolutions.com/slate-ai TargetX/Salesforce case studies (e.g., Moravian College) – evidence of CRM automation doubling inquiries and applications and supporting class growth through personalized outreach. - https://www.targetx.com/blog/institut... Element451 case studies (Forsyth Tech, TSTC, Southeastern University, others) – detailed outcomes on application growth, yield boosts, enrollment surges, and major staff time savings from AI-first CRM and engagement platforms. - https://element451.com/customers Brookings Institution analysis of enrollment algorithms – vendor case results (NJIT, EAB clients) and critical discussion of the risks of algorithmic decision-making in admissions and aid. - https://www.brookings.edu/articles/en... Mainstay (AdmitHub) research on Georgia State University’s “Pounce” chatbot – randomized controlled trial evidence of reduced summer melt and improved enrollment via AI texting. - https://mainstay.com/case-study/how-g... IHEP conversation with Dr. Denisa Gándara – empirical findings on bias in predictive models and recommendations for more equitable use of analytics in higher education. - https://www.ihep.org/dr-gandara-on-pr... 🔔 Subscribe for future O.R.E. Reports🔥 New signals drop regularly🛠 Built for enrollment leaders, strategists, and builders

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