The Experience
This is not a conference. It's a working engagement where you and your implementation partner build your institution's AI strategy together.
AI Convergence is not open registration. We intentionally curate each convening to ensure every participant is fully committed to the work—leaders who are ready to engage deeply, share honestly, and follow through on commitments.
This selectivity is what makes the room valuable. When every person is "100% locked in," as one of our advisory board members put it, the conversations go deeper, the peer learning is richer, and the accountability is real. Like building a cohort in our educational programs, we seek leaders who bring different perspectives, institutional contexts, and expertise to create a powerful group learning environment.
We're building a community of innovative leaders who share a mindset about AI's importance and a commitment to action—not a conference that maximizes attendance.
The leaders who thrive in this community are those ready to be beginners again—regardless of how far along their institution already is. If you're looking for a passive conference experience, this isn't the right fit. If you're ready to work, we want you in the room.
Each convening is intentionally sized and composed to maximize value for all participants:
Institutional Pairs
35–45
Senior leaders and their implementation partners from diverse institution types—R1 universities, regional comprehensives, community colleges, and professional schools
Technology Partners
8–12
Founders, product leaders, and engineers bringing frontier AI expertise and honest perspective—no sales pitches
Industry Experts
10–15
Employer voices and workforce leaders sharing how AI is reshaping the world our students will enter
Track A
AI-enhanced pedagogy, building student AI fluency, rethinking assessment, AI advising and career coaching tools, and closing the "employer trust gap."
Track B
Building faculty AI fluency from basic prompting to agentic workflows, creating psychologically safe experimentation cultures, and navigating shared governance.
Track C
Enterprise AI platform decisions, data governance, AI policy development, resolving "who owns AI" disputes, and operational AI applications.
Attendees select their primary track during registration but receive exposure to all tracks during plenary sessions.
Plenary sessions bring all participants together. Working sessions are facilitated within leadership pairs. Track sessions organize participants by their primary track focus for deeper, context-specific discussions.
The AI Insight Confab #1
Attendees receive a set of insights and go to a table to engage in the discussion.
Tawnya Means & Sandeep Krishnamurthy
Opening Remarks: The AI Convergence Philosophy
Tawnya Means & Sandeep Krishnamurthy
Dazzling Demos #1: AI Technologies Every Leader Should Know
Experience frontier AI capabilities firsthand. We'll demo tools that are reshaping how work gets done: NotebookLM for knowledge synthesis, Elicit for research, BoodleBox for educational AI, Anthropic Claude for analysis and coding, and ChatGPT's voice and agent capabilities. This isn't observation—you'll use these tools yourself.
France Hoang
Reception and Networking Dinner with Fireside Chat
An evening of facilitated introductions and community-building, followed by a fireside chat with Dean Paul Pavlou of the Miami Herbert Business School.
Dean Paul Pavlou in conversation with Sandeep Krishnamurthy
Breakfast and Track Orientation
Sandeep Krishnamurthy & Tawnya Means
The AI Insight Confab #2
Attendees receive a set of insights and go to a table to engage in the discussion.
Sandeep Krishnamurthy & Tawnya Means
Plenary: The AI-Transformed University
A compelling look at AI's trajectory—from current large language models to agentic systems and AGI planning horizons—and what it means for institutional strategy. We examine five essential AI use cases every university must address: teaching and learning enhancement, student advising, recruitment and enrollment, career connection, and operations.
Break
Working Session 1: AI Readiness Diagnostic
Thought partners assess their institution's current AI capabilities against the AI Convergence Standards.
Lunch and Peer Networking
Facilitated tables by institutional type: R1, Regional, Community College, Professional Schools.
Dazzling Demos #2: AI Evolution
Conversations with technology thought leaders on capabilities emerging now and on the horizon: agentic AI, physical and spatial intelligence, AI-enabled learning at scale, and the infrastructure decisions institutions face. Not sales pitches—honest dialogue about what's real, what's overhyped, and what academic leaders need to understand to make sound strategic choices.
Industry Perspective: The Changing Face of Careers
How is AI reshaping the jobs our students will enter? What do employers actually need from graduates? Industry voices share what they're seeing—hiring shifts, new skill requirements, and what differentiates graduates who thrive in AI-augmented workplaces.
Alex Sevilla
Break
Track Sessions: AI Implementation Case Studies
Institutions further along the AI journey share concrete examples. What worked? What failed? What would they do differently?
Working Session 2: AI Strategy Design
Thought partner pairs develop a 90-day AI action plan that starts from where you are—not where we think you should be. Whether you're launching your first AI pilot or scaling institution-wide transformation, you'll identify your next frontier: the highest-impact challenge you're ready to tackle now. Facilitators provide frameworks; peers at different stages provide perspective you won't get at home.
Day 1 Reflection and Evening Assignment
Structured reflection on the day's AI insights. Leadership pairs receive a guided reflection assignment: What surprised you about AI's current capabilities? What challenged your assumptions about your institution's readiness? What's the one AI initiative you're now certain you need to address? Come to Day 2 ready to share.
Sandeep Krishnamurthy & Tawnya Means
Dinner on your own
Breakfast and Reflection Sharing
Table discussions where leaders share insights from their evening reflection: What AI capability or challenge are you now taking more seriously? What shifted in your thinking?
The AI Insight Confab #3
Attendees receive a set of insights and go to a table to engage in the discussion.
AI Plumbing with Joe
So you want your institution to be AI-first and make it easy for deans, professors, administrators, and students to spin up safe and ethical AI use cases—especially those that improve key outcomes. But how do you get there? Should we run out and shop for snazzy AI tools like we shop for a new faucet at the hardware store? Or should we make sure we have the right plumbing in place first? In this whiteboard session, Joe will walk you through the underlying architecture needed at every institution to enable AI at scale. Plan to feel smarter than your CIO when you're done. A recording will be available to take back and share with key stakeholders.
Joe (IntelliCampus)
Working Session 3: 90-Day AI Action Plan Finalization
Pairs finalize their action plan—whether that means launching something new or breaking through a barrier on work already underway. You'll identify Week 1 actions, governance approvals needed, potential obstacles and mitigation strategies, and the support you'll draw from this community. The plan advances your existing momentum, not someone else's starting line. Prepare to present your AI commitment to the full group.
Break
Closing: Your AI Leadership Journey Continues
Introduction to Transformational Leadership Circles, the AI Convergence Fellows program, and ongoing community resources. You're not leaving with just a plan—you're joining a community that will support your AI transformation for years to come. Future convenings with different +1 partners to tackle new AI challenges.
Sandeep Krishnamurthy & Tawnya Means
Closing Lunch and Departures
Review pricing and register your interest for the inaugural convening.
View Registration & Pricing