# AI Readiness Assessment for Higher Education > Source: https://ibl.ai/solutions/higher-education/ai-readiness-assessment 5 Questions. 2 Minutes. ## Is Your University Ready for AI? Answer 5 quick questions and get a personalized AI readiness score for your institution. --- ### Question 1: Scale **How many students, faculty, and staff need AI access?** Everyone who would interact with AI tutors, advisors, or productivity tools. - **Under 500** — Single department pilot - **500 -- 2,000** — School or college-wide - **2,000 -- 10,000** — Institution-wide rollout - **10,000 -- 25,000** — Large university - **25,000+** — University system or consortium ### Question 2: LMS **What LMS does your institution use?** ibl.ai integrates via LTI 1.3 — students and faculty access AI inside your existing LMS. - **Canvas** — Instructure Canvas LMS - **Blackboard / Anthology** — Blackboard Learn or Ultra - **D2L Brightspace** - **Moodle** - **Other LMS** — Sakai, Open edX, or proprietary - **No LMS currently** — Looking for a complete solution ### Question 3: Concern **What's your biggest AI challenge?** The primary barrier your institution faces in adopting AI at scale. - **Cost at scale** — Per-seat licensing is unsustainable for 10K+ users - **FERPA & data privacy** — Student data protection and compliance requirements - **Faculty adoption** — Getting professors to integrate AI into teaching - **Enrollment pressure** — Need AI to help with recruitment and retention ### Question 4: Deploy **Do you need on-premise deployment?** Some institutions require AI infrastructure on their own servers for compliance. - **Yes, required** — Data must stay on our servers - **Preferred for compliance** — FERPA concerns make it ideal - **Open to either** — Evaluating cloud vs. on-premise - **Cloud is fine** — SaaS deployment works for us ### Question 5: Timeline **What's your deployment timeline?** When do you need AI tools available for students and faculty? - **This month** — Ready to launch a pilot now - **This semester** — Deploy before the next term starts - **This academic year** — Planning for next year's budget cycle - **Just exploring** — Building a business case for leadership --- ### Your Results Your score out of 25 determines your readiness tier: **AI Pioneer (21 -- 25)** Your university is ready to lead with AI. You have the scale, infrastructure awareness, and urgency to deploy AI institution-wide. Peer institutions are already moving — early adopters will attract students and faculty. Recommended Next Steps: 1. Launch a 30-day pilot with AI tutoring in one high-enrollment course 2. Use the AI Cost Calculator to build the CFO business case 3. Schedule a technical review to map LTI integration with your LMS **AI Ready (15 -- 20)** Strong foundation — a few steps to full deployment. Your institution has clear AI needs and the organizational maturity to act. Addressing your top concern will unlock institution-wide deployment. Recommended Next Steps: 1. Run a faculty pilot with 3-5 willing professors to build champions 2. Compare your per-seat vendor costs against ibl.ai's flat-rate pricing 3. Engage your Provost and CIO in a joint AI strategy session **AI Explorer (5 -- 14)** Early stage — but the path is clear. You're building the case for AI at your institution. Starting free with a small pilot is the fastest way to demonstrate value to leadership. Recommended Next Steps: 1. Start free with MentorAI to demo AI tutoring to faculty 2. Identify one high-impact use case: advising, tutoring, or enrollment 3. Build a 1-page business case using our cost savings projections --- ### Your Answers A summary of all your selections is displayed for review. **Calculate Your Savings** — Link to the AI Cost Calculator **Retake Assessment** — Start over --- ### Your Roadmap **Get Your Personalized Deployment Plan** Share a few details and our team will send you a custom AI deployment roadmap based on your assessment results. An embedded contact form is provided to submit your information. --- Trusted by 400+ institutions, 1.6M+ users University of Colorado | Columbia University | IBM | Kaplan | SUNY --- *[View on ibl.ai](https://ibl.ai/solutions/higher-education/ai-readiness-assessment)*