Higher Ed OS turns campus-wide AI adoption into a governed, measurable change process, aligning student success, operations, and institutional strategy. It hears every stakeholder group, trains every role, and gives your cabinet evidence it can act on and defend.
Built by a former chief academic officer. Designed for shared governance.
Publish course-level AI use guidanceCurriculum & Pedagogy
In progressReview student data in approved toolsEthics & Governance
NewLaunch Foundations training for staffAI Academy
DoneSample view with illustrative data. Responses are de-identified before analysis.
Task forces meet, pilots multiply, and faculty set their own rules. What’s missing is a shared picture of where people actually are and a disciplined way to act on it.
Each phase feeds the next, and the loop runs again as tools, policy, and people change.
Role-adaptive interviews capture readiness, concerns, and ideas from every stakeholder group, asking each person about the work they actually do.
The AI Academy delivers role-based training matched to what the Listen phase found, so each person learns what their role needs, at their level.
Leadership dashboards, Admin Insights, and Action Routing turn what you’ve heard and learned into prioritized actions, sent to the governance task force that owns each one.
Every insight lands with the group that owns it, so decisions move through shared governance instead of around it.
Start with AI readiness and governance, then extend Higher Ed OS to the areas where your institution needs it most.
Spot students who are struggling earlier and trigger support workflows for advisors and success teams.
AI assistants that help draft syllabi, streamline grading workflows, and reduce administrative load.
Funnel analysis that shows where prospective students drop off, to sharpen recruitment spend and yield.
Around-the-clock digital agents that answer routine questions on financial aid, housing, and registration.
Personalized donor outreach and engagement tracking, connected to your advancement CRM.
Role-based training at four levels, from Foundations to Architect, with Campus AI Champions on every team.
A clear, evidence-based view of AI readiness to bring to your board, and a plan you can stand behind.
One process instead of a patchwork of department rules, with academic integrity and quality kept in view.
What faculty in your unit need, and training that fits how your disciplines actually teach.
Input before decisions are made, and training that respects expertise rather than replacing it.
Visibility into which tools people use and want, so governance and security can get ahead of demand.
A documented, auditable record of how AI decisions were made and acted on.
A survey asks everyone the same questions once. Higher Ed OS uses role-adaptive interviews that ask each person about their actual work, then carries what it hears into training and governance actions, so the findings don’t end in a report.
It gives your task force the evidence it’s missing and a structure for acting on it. Insights are routed to the task force that owns them as prioritized actions with a status and a record.
Responses are de-identified before analysis, and participation requires no account. Leaders see themes and readiness by group, not individual answers.
It can draw on engagement data from your learning and student information systems where you choose to connect them. We scope any integration with your IT and data governance teams before deployment.
Scope and timeline are set in the proposal, based on your institution’s size and priorities. Add typical timeline
That’s what it’s designed for. Faculty shape the plan through the Listen phase before training or policy reaches them, and every action is owned by a governance task force.
In a 60-minute Executive Briefing, we’ll walk through how it would run at your institution and leave you with a written summary for your cabinet.