Students are using AI under rules {you haven't written yet.}
Rapid governance sprints for institutions where adoption outran policy. Decision rights, acceptable use, academic integrity standards, and an institutional AI roadmap — drafted, stress-tested, and committee-ready in about 90 days, not three semesters.
FREQUENTLY FEATURED IN:
What separates a governance sprint from a policy binder.
Every provost recognizes the gap: policy by vacuum, integrity cases with no standard, procurement flying blind. How you close it determines whether it holds.
Big-Firm Consulting
Template Policies
Alex Goryachev
What a sprint produces. Documents, not advice.
Everything arrives ready for your committees to amend and adopt.
Governance Architecture
Who decides what, at which level, with which escalation paths — mapped to your existing shared governance rather than bolted on top of it.
Policy Drafts
Acceptable-use policy, academic integrity standards, and communications strategy delivered as documents your committees can amend and adopt — not a slide deck about why policy matters.
Institutional AI Roadmap
The sequence of decisions after the policies pass, so governance becomes a starting gun rather than a finish line.
How a 90-day sprint works.
Grounded in live governance work across a 22-campus system — adapted to your institution's bodies and calendar.
Exposure review
Where the institution is exposed today — integrity, privacy, procurement, communications — and which committees must own each answer.
Drafting with your committees
Policies drafted with the bodies that must pass them, informed by governance operating at 22-campus scale. Co-authorship is the adoption strategy.
Committee-ready package
Final drafts, comms plan, and roadmap delivered ready for senate and cabinet calendars — with Alex available through adoption.
The playbook came from building inside universities.
As Cisco's Managing Director of Innovation Strategy, Alex built global innovation centers and programs inside universities and research institutions across 14 countries — a $1.1B portfolio, innovation tracks for three Olympic Games, and partnerships from Imperial College London to Keio, NUS, University of Toronto, and UNSW Sydney. That operating history is what his assessments measure against.
Countries
University-anchored innovation centers built with partners including Imperial College London, Keio, École Polytechnique, and UNSW Sydney.
Portfolio managed
Innovation strategy at Cisco run with the same discipline these assessments bring to campus: governance, measurement, ROI.
Olympic Games
Three Olympic Games — innovation programs delivered live on the world stage, with immovable deadlines, global partners, and zero tolerance for failure. That's the operating standard behind every campus engagement.
A campus without an AI policy still has one. It's just written by ten thousand students, {one syllabus at a time}.
How exposed is your institution right now?
Bring your current policy — or the blank page where it should be. Replies within one business day.
Check Alex's availability
Frequently asked questions
What should a university AI policy include?
At minimum: acceptable use for students and employees, academic integrity standards, data privacy rules, procurement guardrails, and clear decision rights. The failure mode is a values statement with no operational teeth. Alex Goryachev's governance sprints deliver those documents committee-ready in about 90 days.
How long does it take a university to stand up AI governance?
About 90 days — if policies are drafted with the committees that must pass them instead of handed to them afterward. Alex Goryachev runs rapid governance sprints grounded in his work on the California State University system's AI Working Group, where governance operates at 22-campus scale.
How should universities handle AI and academic integrity?
Banning AI is a losing strategy — redesign assessment for an AI-saturated world: grade process over product, add oral defenses and applied projects, and publish rules students can actually follow. Alex Goryachev helps integrity boards replace pre-ChatGPT policies that keep losing appeals.
Who helps universities write AI policies?
Alex Goryachev — a CSU AI Working Group member who helps campuses draft acceptable-use policies, academic integrity standards, and governance architecture that fit their shared governance. Engagements produce adoptable documents, not advisory memos.
Can AI governance move fast without freezing innovation?
Yes — treat governance as an accelerator: clear guardrails are what let faculty and staff experiment safely. Alex Goryachev's sprints pair policy drafts with AI-literacy support so the rules are understood, not just published — governance as a starting gun, not a finish line.
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