Only 10% of campuses have an AI strategy. Your faculty are not waiting for yours.

You have a task force, or a draft policy, or a committee that meets monthly. Meanwhile 78% of faculty say their institution gives them no clear guidance on how they can use AI in their own classroom, and they are making those calls anyway – course by course – with no shared standard behind them. The longer that goes on, the more inconsistency you inherit, and the less you will have to show a board or an accreditor asking how you know students are still learning. This session gives you a three-stage model of institutional AI maturity, a benchmark so you can see where your campus sits against peer institutions, and one concrete move per stage sized to a single semester. 

This session is for you if you are a provost, dean, CAO, department chair, or director of teaching and learning who has been handed responsibility for AI and needs to move quickly.

What you will get

• A defensible read on where your campus sits, benchmarked against peer institutions
• Three maturity stages defined by what is observably true on a campus, not by what it aspires to
• The four things your institution has to supply so departments can act without waiting on policy
• One move per stage, sized to what you can finish this semester
• Language you can carry into a cabinet meeting or an accreditor conversation

⭐Live attendee bonus: Attend live and get the Institutional AI Maturity Model Framework, with the observable markers for each stage, so you can place your campus and walk confidently into your next leadership meeting.

Worried you can’t make it? Register anyway and we’ll send you the recording and a copy of the presentation slides!

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