Fluency
People across your institution or team develop the discernment and wisdom to decide when and how to use AI.
For example, a faculty group audits one of its own assignments together to see where AI supports the learning and where it shortcuts it.
Workflow transformation
Teams redesign how work gets done with AI, from course design to advising to daily operations.
For example, a faculty member builds a custom bot that turns current articles into one-class case studies, then pilots these with students.
Strategic AI leadership
Leaders set direction, policy, and governance so the change lasts beyond a single program.
For example, a draft AI policy is collaboratively developed by faculty and staff.
These work together. Every program builds fluency, changes how work gets done, and gives leaders what they need to reach the outcomes they want.