AI-Native Higher Education
Deploy AI agents for student success, enrollment, faculty productivity, and retention. On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. No need to choose build vs. buy — you get both.
MCP Architecture Guide for Higher Education
How to connect your campus systems (LMS, SIS, CRM, degree audit) to AI agents — step by step.
Read the GuideWhat is an AI-native university?
An AI-native university is an institution intentionally designed around artificial intelligence as a foundational capability, integrating human expertise and intelligent systems across teaching, advising, research, enrollment and administration while remaining faithful to the mission of higher education. On ibl.ai that design is testable: you own all the code and the data, so the agents running your campus are institutional infrastructure, not a rented service.
An AI-enabled university bolts a chatbot onto the website and calls it transformation. An AI-native university redesigns advising, enrollment and faculty workload around agents that hold institutional context — the design is what changes outcomes, not the tool count.
That design lives or dies on your systems of record. An agent that answers a student properly has to read Banner, Workday Student, Colleague or Jenzabar, and reach students inside Canvas, Blackboard, Brightspace or Moodle via LTI, under Shibboleth, CAS or SAML.
FERPA is the binding constraint: student records may not leave institutional control, which is why ownership is the test of the definition rather than a preference.
All seven pillars of the book's framework — teaching, students, faculty, operations, research, governance and infrastructure — apply to a university in full. Read chapter 3 and the seven pillars framework.
AI Agents for Higher Education
AI Courses for Higher Education
Practitioner training grounded in primary sources. Each course publishes its full design — module outline, learning outcomes, assessment, and the regulations it cites. Request access to run one with your cohort.
FERPA-Compliant AI: Deploying Agents on Student Data
Run AI agents against your SIS and LMS without a vendor ever seeing a student record — the school official exception, vendor DPAs, and the architecture FERPA implies.
AI Academic Advising at Scale: Design and Guardrails
Build an advising agent that handles degree audits and registration at 20,000-student scale without ever giving a student wrong graduation advice.
Enrollment and Yield AI: Agents Across the Funnel
Deploy AI across inquiry, application, admit, and melt — where agents lift yield, where they damage trust, and how to keep the funnel on infrastructure you own.
AI Tutoring That Improves Outcomes, Not Just Engagement
Design a tutoring agent that produces measurable learning gains — Socratic scaffolding, answer-withholding, misconception detection, and honest outcome measurement.
Assessment Redesign for the AI Era
Detection does not work. Rebuild assessment around what AI cannot fake — process, oral defense, local context, and in-class artifacts — with department-ready rubrics.
Writing a Campus AI Policy That Survives Accreditation
Draft institutional AI policy a regional accreditor, a general counsel, and a faculty senate will each accept — with the governance to keep it current.
How ibl.ai compares
Agentic AI Operating System for Higher Education
ibl.ai gives university and college leaders their own Agentic AI Operating System — deploy, customize, and control AI agents across your institution without vendor lock-in.
Unlike closed SaaS tools where you pay per seat and can't modify anything, ibl.ai provides the entire codebase so your institution owns and controls everything.
Student Success Agents
24/7 course support, exam prep, and personalized learning — grounded in your course materials.
Students get accurate, citable answers any time of day without waiting for office hours.
Degree planning, course selection, graduation requirements, and transfer credit evaluation.
Agents query your SIS in real time so students always get current, accurate guidance.
Career counseling, internship matching, mental health resources, and campus navigation.
Reduce wait times and give every student instant access to the support they need.
Faculty & Staff Productivity Agents
Syllabus creation, lecture materials, assignment generation, and grading assistance.
Give faculty more time for research and high-touch teaching by automating routine content tasks.
Literature review, grant writing support, and IRB guidance.
Agents search databases, analyze funding opportunities, and help structure proposals — accelerating the research lifecycle.
Policy Q&A, HR onboarding, IT help desk, and compliance support.
Staff get instant answers to routine questions, freeing administrators for strategic work.
Enrollment & Revenue Agents
24/7 inquiry response, program matching, application guidance, and campus visit scheduling.
Never miss an inquiry — respond instantly at any hour and guide prospects through every step.
FAFSA support, scholarship matching, and payment plan information.
Reduce the burden on financial aid offices while giving students clear, accurate guidance on funding options.
Personalized outreach to admitted students, objection handling, and deposit nudges.
Increase yield rates without adding headcount by scaling one-to-one engagement with AI.
Early alert follow-up, re-enrollment campaigns, and stop-out recovery.
Identify at-risk students through conversation analytics and intervene before they leave.
Certificate program promotion, corporate partnership support, and professional development upsell.
Open new revenue streams by reaching working professionals at scale.
Key Benefits
Integrations
Slate, Salesforce, and Ellucian CRM — for enrollment and alumni engagement agents.
Connect recruitment, retention, and advancement in one intelligent system.
Pricing & Ownership
Get Started
What our partners say about us
Chris Gabriel | Google
Lorena Barba | George Washington University
Dr. Juana Mendenhall | Morehouse College
Juile Diop | MIT
Adam Tetelman | Nvidia
Jason Dom | American Public University System
Benjamin Breyer | Columbia University
Ken Fujiuchi | SUNY
Erika Digirolamo | Monroe College
David Flaten | SUNY
David Vise | Modern States Education Alliance
Linda Wood | ARM Institute (U.S. Department of Defense)
Chris Gabriel | Google
Lorena Barba | George Washington University
Dr. Juana Mendenhall | Morehouse College
Juile Diop | MIT
Adam Tetelman | Nvidia
Jason Dom | American Public University System
Benjamin Breyer | Columbia University
Ken Fujiuchi | SUNY
Erika Digirolamo | Monroe College
David Flaten | SUNY
David Vise | Modern States Education Alliance
Linda Wood | ARM Institute (U.S. Department of Defense)
Frequently Asked Questions
An AI-native university is designed around AI as a foundational capability rather than adding tools to existing processes — teaching, advising, research and operations are reconsidered together.
The test of that design is ownership: on ibl.ai you own all the code and the data, so student records and the agents reading them stay institutional. The full framework is in The AI-Native University.
It is a complete AI infrastructure that lets universities deploy, customize, and control AI agents across every department — student success, enrollment, faculty productivity, and administration.
Unlike closed SaaS tools, you own the entire codebase and can host on your infrastructure or ours.
ibl.ai offers institution-wide licensing at a flat fee for unlimited users, typically around 10x less expensive than per-seat alternatives. There are no surprise price increases and no vendor lock-in — you own everything.
ibl.ai integrates with Canvas, Blackboard, Brightspace, Moodle, and Sakai via LTI. It also connects to SIS platforms like Banner, Workday Student, PeopleSoft, Colleague, and Jenzabar, plus CRMs like Slate, Salesforce, and Ellucian CRM.
Yes. ibl.ai supports SSO via Shibboleth, CAS, SAML, Azure AD, and Google under your institutional control. Student data stays in your environment, all agent interactions are logged, and you define the access policies.
Yes. ibl.ai is LLM-agnostic and supports models from OpenAI, Google, Anthropic, Meta, and others. You can switch models as better or more cost-effective options emerge without changing your integrations.
Enrollment agents respond to prospective student inquiries instantly, match programs, guide applications, and personalize outreach to admitted students.
Retention agents identify at-risk students through conversation analytics, automate early-alert follow-up, and run re-enrollment campaigns for stop-outs.
A typical pilot deploys 2-3 agents in one department within a few weeks. Institution-wide deployment scales from there based on your priorities. We start with a free 30-minute campus assessment to identify the highest-impact opportunities.
Private AI you own — for higher education
Run a self-hosted, private LLM platform on your own servers — on-premise or air-gapped. You own the code, data, and models, with no per-seat fees.