AI can transform how community colleges serve students – personalizing advising at scale, identifying who needs help before they disengage, and putting real-time intelligence in every advisor’s hands. But only if the data beneath it is ready. This report shows you what that takes.
The AI Opportunity in Higher Education
What the most transformative AI use cases look like – and what each genuinely requires to deliver results.
Why Community College Data Is Especially Vulnerable
Decades of technical debt, fragmented systems, and definitional inconsistency create AI risks most leaders haven’t mapped.
What AI-Ready Data Actually Looks Like
Six concrete dimensions – accuracy, completeness, integration, governance, consistency, timeliness – and how to measure where you stand.
A Hierarchy of Needs for AI Readiness
A layered framework for data maturity – and why skipping levels doesn’t produce partial results, it produces failure.
A Practical Roadmap
How to sequence investment correctly for community college resource realities – so AI pays off when it arrives.