AI Governance Consulting for Colleges & Universities
Practical AI policy, governance, and cybersecurity advisory for institutions where AI adoption is already ahead of oversight — led by an Associate Professor and cybersecurity researcher who works inside higher education.
AI Governance Readiness Assessment for Colleges & Universities
A fixed-scope engagement that shows your cabinet exactly where the institution stands on AI — what is already in use, where the risk sits, and which governance decisions to make first.
- AI maturity assessment across academic and administrative units
- Inventory of AI tools already in use on campus
- AI risk assessment covering student data, research, and vendors
- Governance gap analysis against NIST AI RMF
- Draft university AI policy and responsible AI guidelines
- AI oversight committee charter and decision rights
- Executive briefing for cabinet, board, or trustees
- Prioritized 12-month roadmap
The four gaps that show up in almost every institution.
Most colleges and universities are not starting from zero — they are starting from uncoordinated adoption.
No institutional AI policy
Faculty, staff, and students are already using generative AI while the institution has no approved policy, guidance, or approval path.
Committees without a framework
An AI task force exists, but there is no governance structure, decision rights, or risk process behind its recommendations.
Student data and research security
FERPA, research data, and third-party AI tools create exposure that traditional IT security reviews were never designed to catch.
Accreditation and audit pressure
Auditors, accreditors, and boards are asking how AI is governed — and answers need documentation, not intentions.
Advisory built for how institutions actually decide.
Shared governance means AI decisions cross academic affairs, IT, legal, research, and the board. Our engagements are structured to produce documents each of those groups can act on — not a single report that stalls in committee.
- Presidents & Provosts
- CIOs & CISOs
- Deans & Academic Leadership
- IT & Information Security Directors
- AI Committees & Task Forces
- Boards & Trustees
AI governance in higher education, answered plainly.
- What is AI governance in higher education?
- AI governance is the set of policies, oversight bodies, and risk processes that determine how an institution approves, monitors, and uses artificial intelligence across teaching, research, and administration. In higher education it also has to account for academic freedom, shared governance, FERPA, and research security.
- How do we create an AI policy for our university?
- Start with what is already happening: inventory the AI tools in use, identify where sensitive data flows, then write policy that draws clear lines for classroom use, research, and administrative systems. Policy that is drafted without an inventory tends to be either unenforceable or quietly ignored.
- How long does an AI governance readiness assessment take?
- The assessment runs about two weeks from kickoff to executive briefing. A full governance framework, including policy and committee charter, typically runs four to six weeks.
- Who should be involved from our institution?
- Usually the CIO or CISO, a provost or academic leader, general counsel, institutional research, and one or two faculty representatives. Broad enough to be legitimate, small enough to move.
Bring a clear AI governance plan to your next cabinet meeting.
A confidential 30-minute call is enough to identify your institution's two or three most urgent AI governance decisions.