The Higher Ed AI Field Guide
A weekly field guide for higher education leaders trying to move from AI activity to institutional readiness.
The Higher Ed AI Field Guide is a 24-part series on what AI readiness actually looks like inside colleges and universities. Each issue examines one part of institutional readiness, from governance and policy to teaching, student success, operations, finance, culture, and future planning.
The premise is simple: AI readiness is not just a tool question. It is a question of institutional capacity.
Organized by the five pillars
Five questions a cabinet can hold in one meeting, and the 23 domains underneath them. New issues publish weekly.
Governance, Risk & Compliance
How does the institution make responsible AI decisions?
CIO · CDO · Counsel · Board
The Committee Is Not the Strategy
Jun 17, 2026 · Governance & Org Structure
Committees matter, but a committee without authority, decision rights, escalation paths, and an operating rhythm becomes a place where AI work gets observed rather than led.
PreviewThe Policy Nobody Read
Jun 24, 2026 · Policy & Acceptable Use
A policy that lives in a PDF and covers only the classroom is not enough. The real question is whether faculty, staff, and students know what they can and cannot do, and whether those rules are usable in daily work.
PreviewShadow AI Is Already Your Operating Model
Jul 8, 2026 · Data Governance for AI
Staff and faculty are already using AI to survive their workloads. The question is whether the institution can turn hidden improvisation into responsible capacity.
PreviewThe Risk You Can't See Yet
Jul 15, 2026 · Security & Risk
AI introduces new risks that may not show up in traditional security planning. Readiness means treating AI risk as an ongoing operating concern, not a one-time approval gate.
PreviewWho Checks Whether the Model Is Fair?
Jul 22, 2026 · Ethics, Equity & Bias
Equity is not a value statement at the end of an AI strategy. It is an audit function with an owner, a process, and a pause-and-fix protocol.
PreviewFERPA Was Written for a Different Machine
Jul 29, 2026 · Compliance & Legal
FERPA, accessibility, accreditation, copyright, procurement, and employment obligations all apply to AI in ways many institutions have not fully mapped.
PreviewWhat to Ask Before Signing the Next AI Contract
Aug 5, 2026 · Vendor Management
Many consequential AI decisions arrive through vendor contracts or embedded features in systems the institution already owns. Readiness starts before procurement, not after.
PreviewBoards Need More Than an AI Risk Briefing
Aug 12, 2026 · Board Governance
Boards need to understand AI as risk, but also as a question of institutional relevance, financial sustainability, academic value, and public trust.
PreviewAcademic Mission & Learning
How does AI change teaching, learning, assessment, research, and academic quality?
Provost · Deans · CAO
What Teaching Looks Like When AI Is Ambient
Aug 19, 2026 · Teaching & Learning
This is not only about banning or embracing tools. It is about what teaching, AI literacy, and course design become when AI is part of the room.
PreviewAcademic Integrity Was the Doorway, Not the Room
Aug 26, 2026 · Assessment & Academic Integrity
Academic integrity opened the conversation, but the larger question is how assessment changes when AI can participate in many forms of student work.
PreviewThe Work That Changes: Augmentation and Anxiety
Sep 2, 2026 · Faculty & Staff Development
AI literacy is labor. Faculty and staff need time, examples, incentives, and support, not just another expectation to absorb.
PreviewWho Gets Credit When the Co-Author Is a Model?
Sep 16, 2026 · Research & Scholarship
AI in research is not only about speed. It is about methods, disclosure, integrity, access, data handling, and what counts as scholarly work.
PreviewWhen the Tool Stops Waiting for a Prompt
Sep 23, 2026 · Agentic AI
Agentic AI changes the question from what people do with AI to what AI systems are allowed to do with, for, and around people.
PreviewStudent Lifecycle & Success
How does AI affect the student journey from inquiry through alumni engagement?
VP Enrollment · Student Affairs · Advancement
The Student Support Maze Is Getting an AI Layer
Sep 30, 2026 · Student Success & Support
AI readiness should be judged by whether it helps students navigate the institution, not by whether the demo is impressive.
PreviewThe First Institution to Respond Usually Wins
Oct 7, 2026 · Enrollment Management & Marketing
Prospective students may experience institutional AI before they ever enroll. Public information quality, inquiry routing, and trust matter early.
PreviewFrom First Inquiry to Alumni, One Continuous Line
Oct 14, 2026 · Enrollment-to-Career Lifecycle
Students do not experience institutions as org charts. AI readiness has to account for handoffs across admissions, advising, registration, career, alumni, and beyond.
PreviewThe Overlooked AI Opportunity in the Development Office
Oct 21, 2026 · Advancement & Fundraising
AI readiness does not stop at graduation. Alumni engagement, donor trust, personalization, privacy, and stewardship are part of the map.
PreviewOperations & Infrastructure
What operational, financial, and technical capacity does AI require?
COO · CFO · CIO
Where AI Creates Capacity, and Where It Creates Hidden Labor
Oct 28, 2026 · Administrative Operations & Efficiency
Much of AI's value may show up in unglamorous workflows. Readiness starts with the work, not the tool.
PreviewYou Can't Run AI on Disconnected Systems
Nov 4, 2026 · Infrastructure & Technology
AI strategy eventually meets the data stack, identity system, integration backlog, support model, and the people who know how everything actually works.
PreviewDoes Every AI Initiative Have a Path to ROI?
Nov 11, 2026 · Financial Planning & Sustainability
The AI budget is not only the license cost. Training, integration, governance, accessibility, support, evaluation, and sustainability all count.
PreviewStrategy, Culture & Positioning
How does AI reshape institutional identity, communication, partnerships, and future positioning?
President · Chief of Staff · CMO
What Can't Be Replicated: Identity in an AI-Shaped Market
Nov 18, 2026 · Communications, Culture & Change
AI adoption is partly technical, partly cultural, and often a communications problem wearing a hoodie. Institutions need language people can trust.
PreviewAI Readiness Doesn't Stop at the Campus Edge
Dec 2, 2026 · Community, Partnerships & External Relations
Institutions also have to decide how they show up for employers, schools, civic partners, and the communities they serve.
PreviewWhat's Coming, and What We Start Now
Dec 9, 2026 · Emerging & Future Considerations
Readiness is not a one-time assessment. Institutions need structures for questions that have not fully arrived yet.
PreviewWhere the Field Guide comes from
The Field Guide is built from Eleved's Higher Ed AI Readiness Framework: five pillars and 23 domains for helping institutions move from scattered AI activity to practical institutional readiness. Compass is the assessment and planning tool in the works from eleved.ai to support and build on that framework — a way to turn these questions into a current-state picture and a plan an institution can actually run.
Compass is in early development. Join the early-access list to help shape it and be first in line when it opens.
Get the next Field Guide
Each issue lands here first as the canonical archive. Subscribe on LinkedIn to get the next one in your feed — one part of institutional AI readiness at a time, no hype.
Subscribe on LinkedIn