The AI plan your institution actually needs.
A free, practical framework that maps the 23 domains where AI meets higher ed — grouped into 5 pillars your cabinet can divide in a single meeting. Built by a 30-year higher-ed practitioner.
Instant delivery — downloadable files plus a Notion workspace you duplicate and own.
The 23 domains, grouped into 5 pillars
The 23 domains stay the working map. The five pillars make it easy to open the conversation with leadership, committees, and boards — and assign an owner to each.
Governance, Risk & Compliance
The trust layer the rest of the institution rests on.
Academic Mission & Learning
Classrooms, syllabi, scholarship, agentic learners.
Student Lifecycle & Success
Prospect → graduate → alum.
Operations & Infrastructure
Running the institution.
Strategy, Culture & Positioning
How the institution shows up — inside and out.
See the full framework Every pillar, every domain, and how they fit together. Open the frameworkThe Higher Ed AI Field Guide
A weekly field guide for higher education leaders trying to move from AI activity to institutional readiness — one part of the picture at a time, across all five pillars and 23 domains.
Read the Field GuideThe whole framework, free
No paywall, no sales call. Get the complete map and start the conversation on your campus this week.
Complete AI-Readiness Framework
- All 23 domains, grouped into the 5 leadership pillars
- A shared map your cabinet can divide in a single meeting
- Downloadable files plus a Notion workspace you duplicate and own
- Instant delivery — just your email, no sales call
Before the Committee Meets
AI in higher education, distilled weekly for the people who'll actually have to do something about it.
No filler, no hype. The arguments, frameworks, and questions you need before the next governance meeting, board update, or faculty conversation.
Subscribe on LinkedInBuilt from the inside
eleved.ai is built by higher education practitioners, not outside consultants guessing at your problems. Our founder spent 30+ years inside institutions, from the registrar's office to Chief Data Officer, building the data systems, BI platforms, and analytics infrastructure that run a university. Every tool we build comes from problems we've solved firsthand.