Tailwind helps higher ed institutions see how AI is already showing up across campus, in classrooms and back offices alike, and works alongside your team to put it to use responsibly. We’re AI consultants who’ve been in the rooms where these decisions get made.
Walk any campus today and you can point to the rooms where AI questions are being answered, sometimes carefully, sometimes by default. What follows is a composite of what we see across higher ed right now. None of it is hypothetical. Scroll, and we’ll walk it together.
Before any task force convenes, AI questions are already being answered here, building by building, office by office. The only question is whether those answers are connected to each other.
The Board of Trustees and the president set institutional commitment, risk tolerance, governance authority, budget, and priorities. They don’t need to be technical experts. They need a structure they can trust and a picture they can act on.
IT and a cross-campus AI Working Group, built to mature into a standing committee, translate leadership’s direction into shared guidance: principles, a risk-tier framework, approved tools, and policy review. It sits between the two houses on purpose.
It arrived in students’ pockets, not through procurement. Take-home essays, problem sets, online exams: every assessment designed before 2023 now has an open question sitting inside it. In Humanities, in Allied Health, in the library, faculty are working out what to do about that.
A take-home essay can be drafted in seconds, and faculty know it. Their hesitation isn’t stubbornness; it’s the real difficulty of teaching critical thinking when the shortcut is free and invisible. This is not an efficiency problem. It’s an assessment-design and trust problem, and it has to be worked out by faculty, with institutional backing behind them.
Transcripts read by eye and re-keyed by hand. Inboxes triaged one message at a time. Data moved carefully from one system into another by people who have three other jobs to do. Nobody here is debating philosophy. They’re watching the clock.
An evaluator spends mornings re-keying transcript data and afternoons reviewing routine email. This is the clearest optimization play on campus: let AI take the first pass, keep a person on every final call, and hand those hours back to students. Same campus as the essay problem, a fundamentally different problem.
The academic house needs trust, judgment, and time to redesign assessment. The operations house needs capacity, oversight, and a green light to automate the first pass. Direction flows down, insight flows back up, and every question gets routed to the room that can actually answer it.
Now explore it yourself. Every building holds a decision that’s being made on campuses like yours right now.
Hover, tap, or tab through the buildings, or use the tour buttons.
Most of what you just walked through is happening with no shared reference point. So we built one: a living dataset of published AI policies across 27 countries, classified by stance, maturity, and audience. Here’s a snapshot.
First-adoption year for 458 dated policies. 2023 is when it broke open.
845 classified policies, by stance.
All 6,602 monitored institutions, by policy maturity. 49.4% have nothing on paper yet.
Most institutions we talk with don’t need another vendor or another manifesto. They need a clear-eyed read on how AI is already showing up on their campus, and someone who’s seen it play out elsewhere. So we offer a free AI consult: a focused conversation where we map where AI is living on your campus, based on our own experience across higher ed, and talk through a sensible next step. No deck, no pitch.
Thirty minutes, no cost, no commitment. Just a conversation about your campus.