AI for U

AI for U is the go-to podcast for higher ed professionals looking to integrate AI into their daily work. Each episode features interviews with industry leaders, providing insights on implementing and leveraging AI to streamline processes, enhance student experiences, and drive institutional success. Join host Brian Piper every other Thursday for fresh, empowering content that keeps you at the forefront of AI in higher education.

AI for U is a business podcast hosted by Unknown Host, with 67 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts AI for U, a business show with 67 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #51

  Ep. 51: Why Higher Ed Must Adopt AI at Scale Before the Tech Passes Them By

  Jul 30, 202641 min

  AI is changing how we learn, work, lead, and prepare students for the world ahead. So why isn’t higher ed moving faster in adopting this technology at scale? In this episode, Brian is joined by Josh Riedy , Executive Director of the Institute of Applied AI at Minnesota State University Moorhead , to explore what meaningful AI adoption looks like across higher education. Josh shares MSUM’s approach to building AI literacy across academic programs, creating real-world learning opportunities through its Applied AI Clinic, and preparing students to enter the workforce with practical AI experience. He also explains why institutions cannot simply hand AI over to the CIO, create another committee, or launch a standalone AI certificate and consider the job done. Join us as we discuss: [3:25] Why higher ed needs to start adopting AI at scale [15:35] Who should lead AI implementation measures across your institution [25:52] Using workshops and challenges to establish an AI literacy framework To hear this interview and many more like it, subscribe on Apple Podcasts , Spotify , or our website , or search for AI for U with Brian Piper in your favorite podcast player. - - - - Connect With Our Host: Brian Piper https://www.linkedin.com/in/brianwpiper/ About The Enrollify Podcast Network: AI for U is a part of the Enrollify Podcast Network . If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 —  The AI Workforce Platform for Higher Ed. Learn more at element451.com . Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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  Episode #50

  Ep. 50: How 24/7 Student Support AI Drives True Equity in Higher Education

  Jul 23, 202636 min

  When Massachusetts rolled out free community college, it drove massive equity across the state, but it also created an unprecedented bottleneck at the front door of smaller institutions. Brian sits down with Alex Russo , Director of Enrollment & Recruitment Strategy at Cape Cod Community College , to discuss how a school with limited headcount operationalized 24/7 student support AI to manage a sudden 40% spike in student volume. Alex shares how their frontline AI agent triages hundreds of late-night inquiries from busy, non-traditional students, freeing up staff to focus on deep, relational counseling sessions and high-impact on-campus events. Join us as we discuss: [2:51] Why 24/7 AI agent support became an enrollment equity driver for Cape Cod Community College [11:04] How community colleges can start leaning into an AI strategy on limited budgets [20:59] Measuring the ROI of AI agents and maintaining your school’s brand voice To hear this interview and many more like it, subscribe on Apple Podcasts , Spotify , or our website , or search for AI for U with Brian Piper in your favorite podcast player. Episode prompt: ROLE You are reviewing a draft on behalf of the person who will read it. You are not a writer, an editor, or a copy improver. You are a stand-in for the reader. CONTEXT - Who wrote this: [YOUR ROLE, e.g. director of enrollment] - Who will read this: [BE SPECIFIC — e.g. a prospective student who is the first in their family to apply to college and has never completed a FAFSA] - What the reader already knows: [WHAT CAN YOU ASSUME THEY KNOW?] - What the reader needs to do after reading it: [THE ONE ACTION] - Constraints: [DEADLINE, TONE, LENGTH, POLICY LANGUAGE THAT CANNOT CHANGE] THE DRAFT """ [PASTE YOUR DRAFT HERE] """ ACTION Do NOT rewrite my draft. Do NOT produce an improved version. Do NOT change my word choices, sentence rhythm, or voice. Report back only, using these headers: 1. THE ONE ACTION — In one sentence, what does this draft ask the reader to do? If you cannot tell, say so. 2. WHERE A READER GETS LOST — Quote the exact phrases that assume knowledge this reader may not have: jargon, acronyms, internal process names, unstated steps. 3. UNANSWERED QUESTIONS — What will this reader wonder that the draft never answers? List them as questions. 4. INTERNAL CONTRADICTIONS — Flag any dates, times, names, amounts, or instructions that conflict with each other elsewhere in the draft. 5. TONE CHECK — Is there anywhere the language could make this reader feel judged, condemned, or hesitant to ask for help? Quote it. 6. WHAT IS WORKING — Two things I should not change. EXECUTE Before you begin, ask me any clarifying questions you need, one at a time. When you report, cite the exact text you are referring to. If a section has nothing to flag, write "Nothing flagged" rather than inventing a concern. - - - - Connect With Our Host: Brian Piper https://www.linkedin.com/in/brianwpiper/ About The Enrollify Podcast Network: AI for U is a part of the Enrollify Podcast Network . If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 —  The AI Workforce Platform for Higher Ed. Learn more at element451.com . Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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  Episode #49

  Ep. 49: More Than Just a Writing Assistant: The Three Layers of Agentic AI

  Jul 2, 202647 min

  Brian welcomes back Ardis Kadiu , Cofounder and CEO at Andi.ai , to break down the massive shift from simple text generation to true agentic autonomy. Ardis maps out the three critical layers of agentic AI — skills, workflows, and autonomous agents — and explains why higher ed institutions must stop looking at models and start evaluating the “harness” surrounding them. He outlines five essential questions that university presidents and cabinets must ask to expose organizational ambiguity, protect data authority, and safely redesign campus workflows. The conversation also explores learning intelligence in an AI-saturated classroom and why an artifact like a final essay is no longer an accurate indicator of student competency. Join us as we discuss: [2:53] Why higher ed professionals need to reframe their understanding of AI’s capabilities [12:07] Five questions higher ed leaders need to ask before implementing AI [19:55] How AI is going to change higher ed’s role in an evolving job market [30:30] Closing the gap between future AI model capabilities and human adoption To hear this interview and many more like it, subscribe on Apple Podcasts , Spotify , or our website , or search for AI for U with Brian Piper in your favorite podcast player. - - - - Connect With Our Host: Brian Piper https://www.linkedin.com/in/brianwpiper/ About The Enrollify Podcast Network: AI for U is a part of the Enrollify Podcast Network . If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 —  The AI Workforce Platform for Higher Ed. Learn more at element451.com . Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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  Episode #48

  Ep. 48: The Messy Middle of AI: How the University of Notre Dame Is Navigating Change

  Jun 18, 202645 min

  Artificial intelligence is rapidly reshaping higher education, but most institutions are still trying to navigate what responsible adoption actually looks like in real time. In this episode, Brian sits down with Brandon Rich, Director of AI Enablement at the University of Notre Dame, to explore what he calls the “messy middle” of AI adoption in higher ed. Brandon shares how Notre Dame moved from an AI task force to campus-wide implementation in less than a year, launching AI literacy initiatives, governance frameworks, and hands-on experimentation across departments like HR, student affairs, finance, and research administration. Join us as we discuss: [2:47] The “messy middle” of AI adoption in higher education [13:26] How Notre Dame rolled out AI strategically across campus [26:06] Budgeting, staffing, and resource challenges for AI initiatives Check out these resources we mentioned during the podcast: Snowflake Cortex ChatGPT Edu Okta To hear this interview and many more like it, subscribe on Apple Podcasts , Spotify , or our website , or search for AI for U with Brian Piper in your favorite podcast player. - - - - Connect With Our Host: Brian Piper https://www.linkedin.com/in/brianwpiper/ About The Enrollify Podcast Network: AI for U is a part of the Enrollify Podcast Network . If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 —  The AI Workforce Platform for Higher Ed. Learn more at element451.com . Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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  Episode #47

  Ep. 47: Governance and Accessibility: How to Build Trust Around AI in Higher Ed

  Jun 4, 202633 minS0

  <p>Returning guest Joyce Peralta, Manager of Digital Communications at McGill University, joins Brian for a thoughtful conversation about what higher education institutions are getting right and wrong about AI adoption. From governance and accessibility to localization and structured content, Joyce shares how McGill is navigating the realities of implementing AI inside a large, decentralized institution. She explains why AI readiness is really about trust, shared standards, and human judgment, not just new technology. The conversation also explores the future of AI in higher education and why successful adoption will depend on building systems that support both consistency and inclusion.<...

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