Quick AI Readiness Self-Check
Twenty questions across five dimensions. A fast pulse-check to start a team conversation, not to settle one.
Leadership & Strategy
Whether AI has an owner at the top, a written direction, and a budget — or whether it lives in the gaps between meetings.
1. Our institution has a documented AI strategy that is reviewed at least annually.
2. A named executive or governing body is explicitly accountable for AI decisions at our institution.
3. AI initiatives have a dedicated budget line, not just whatever is left over.
4. Our AI strategy is connected to our broader mission and educational philosophy, not bolted on.
Infrastructure & Tools
The unglamorous question of whether the wifi, accounts, licenses, and identity systems can actually carry the AI tools you want to use.
1. Faculty and staff have institutionally-provided access to at least one mainstream AI assistant.
2. We have a way to evaluate and approve new AI tools before they enter classroom or administrative use.
3. Our identity and single-sign-on systems work with the AI tools our staff actually use.
4. We track which AI tools are in use across the institution — including the ones individuals adopted on their own.
Faculty & Staff Readiness
Whether the people who teach, mentor, and run the institution have the time, support, and confidence to use AI well — not just the option to use it.
1. Faculty and staff have dedicated time and budget for learning to use AI tools.
2. We have at least one structured AI training pathway that staff can opt into.
3. Our staff include identifiable internal champions who help peers adopt AI tools.
4. Faculty who experiment with AI in their teaching are recognized for that work, not penalized for it.
Policy & Ethics
Whether the institution has thought publicly and in writing about what AI use is, is not, and should not be — and whether anyone could actually find those answers.
1. We have a documented, current policy on AI use for staff and students.
2. Our policy distinguishes between different categories of AI use rather than treating it as one thing.
3. Students and staff can easily find and understand our AI policy in plain language.
4. Our policy addresses equity: how access to AI tools will not become another source of advantage gap between students.
Curriculum Integration
Whether AI shows up in what students actually learn — not as a topic in one elective, but as a thread running through how the institution teaches.
1. AI literacy is included in at least one required learning experience for our students.
2. Faculty have permission and support to redesign assessments in light of AI.
3. Our curriculum addresses both how to use AI and when not to use it.
4. Assessment redesign is happening across departments, not just in one early-adopter pocket.
This is a self-assessment tool. Results are directional, not diagnostic. Use them to start a conversation, not to settle one.
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