Institutional AI Strategy
Develop a clear, forward-looking strategy for how AI integrates across the university, academically, operationally, and culturally.
Includes
- 12-36 month roadmap
- opportunity and risk mapping
- leadership alignment
For Universities
AI Is Reshaping Higher Education Faster Than Institutions Can Adapt
I help universities navigate this transition at the institutional level, aligning curriculum, governance, leadership, and strategy in a rapidly changing landscape.
This is not a tooling problem. It's a systems problem.
What Universities Are Actually Facing
AI is not arriving as a single technology that can be adopted and stabilized. It is evolving continuously, changing how students learn, how faculty teach, and how knowledge itself is produced. Most institutions are responding in fragments: isolated policies, experimental tools, and disconnected initiatives. The result is growing misalignment across the university.
- Students using AI in ways faculty do not fully understand
- Faculty divided between adoption, skepticism, and uncertainty
- Policies that are outdated almost as soon as they are written
- New programs being proposed without a clear long-term model
- Leadership needing to make consequential decisions without stable ground
The Challenge Is Not Adoption-It's Stability Under Change
AI systems are probabilistic, rapidly improving, and increasingly agentic. That means the problem is not simply integrating them into existing structures. The problem is that the structures themselves begin to break.
Universities need to be designed to remain stable as these systems evolve, not optimized for a single moment in time.
In practice, that means designing systems that fail safely, adapt quickly, and remain legible to both humans and machines.
How I Work With Universities
Curriculum & Program Design
Design academic programs that remain relevant as AI capabilities evolve.
Includes
- AI-integrated degrees and concentrations
- cross-disciplinary curriculum design
- new program development across the arts, humanities, sciences, and emerging media
Governance, Policy, and Academic Integrity
Create policies that actually work in a world where AI use is unavoidable.
Includes
- faculty and student usage frameworks
- academic integrity redesign
- practical, enforceable guidance
AI Systems Integration
Design how humans and AI systems interact across the institution, from classrooms to administration.
Includes
- AI-assisted workflows
- internal tools strategy, including agents and copilots
- human-AI systems design
Executive Advisory
Ongoing strategic guidance for university leadership navigating high-uncertainty decisions.
Includes
- provost / president advising
- board-level conversations
- fractional or ongoing strategic support
What This Looks Like in Practice
Engagements are tailored to the institution, but they typically take one of three forms:
Short-Term Strategy Engagement (4-8 weeks)
- institutional assessment
- leadership alignment
- strategic roadmap
Focused Initiative (8-16 weeks)
- program design
- policy framework
- pilot system implementation
Ongoing Advisory
- monthly or quarterly guidance
- iteration as AI evolves
- support through major institutional decisions
Common Starting Points
Universities typically reach out at specific inflection points. If your institution is in one of these situations, this work is designed to help bring clarity and alignment quickly.
Provost / Leadership Alignment
The institution knows AI is important, but there is no shared understanding of what to do next.
- leadership misalignment
- fragmented initiatives
- pressure to act without a clear roadmap
New Program or Curriculum Push
A college or department wants to launch something AI-related, but the long-term model is still unclear.
- new degrees or concentrations
- cross-disciplinary initiatives
- uncertainty about what will remain relevant
Governance / Policy Reset
Existing policies are breaking down as AI use becomes widespread across the institution.
- academic integrity challenges
- inconsistent faculty approaches
- enforcement that does not match reality
Early Experiments, No System
AI tools and pilots are emerging across campus, but there is no coherent institutional structure around them.
- isolated experimentation
- duplicated effort
- lack of coordination
Engagement Models
Most university engagements are scoped around a clear institutional need, timeline, and decision-making context. Typical ranges are below.
Strategy Engagement
Scope: 4-8 weeks
Typical investment: $20,000 - $30,000
Institutional assessment, leadership alignment, and strategic roadmap.
Focused Initiative
Scope: 8-16 weeks
Typical investment: $40,000 - $60,000
Program design, policy frameworks, or AI pilot implementation.
Ongoing Advisory
Scope: monthly / quarterly
Typical investment: $4,000 - $6,000 / month
Continued guidance as institutional strategy evolves.
Engagements are tailored to the institution. Final scope and pricing depend on institutional size, complexity, stakeholders, and goals.
Most engagements can begin remotely via Zoom and collaborative online work. On-site sessions and campus visits can be incorporated where useful and are scoped separately.
Why This Work Requires a Different Perspective
Most AI consulting for universities is either purely technical or purely academic. This work sits between those worlds.
I bring experience as a professor, AI practitioner, and founder, allowing me to translate between faculty, administration, and technical teams. That translation layer is often the missing piece in institutional AI efforts.
I am also actively engaged in public discourse around AI, which helps keep this work grounded in where the technology is actually going, not where it was a year ago.
Who This Is For
- University Presidents and Chancellors
- Provosts and Academic Leadership
- Deans launching new programs
- Institutions planning long-term AI strategy
Start the Conversation
If your institution is actively thinking about how to respond to AI, or struggling to align around a path forward, I'd be happy to talk.
Universities are navigating one of the most significant transitions in their history. The goal is not short-term optimization, it's long-term institutional stability.
Get in Touch