AI integration that connects to real student data — not a demo
AI tools are only as good as the data they can see. We connect chatbots, predictive retention models, and advising platforms to your actual SIS, CRM, and LMS data, so they answer real questions instead of generic ones.
AI platforms we've connected to campus systems
Newer AI-native tools still have to plug into the same SIS, CRM, and LMS as everything else — that's the integration work most vendors leave for your team to figure out.
What AI integration actually looks like
A few of the most common connections we build around AI tools.
Chatbots grounded in real SIS and CRM data
Instead of an FAQ bot with generic answers, the chatbot can see a student's actual enrollment, aid, and advising status.
Predictive retention alerts wired into advisor workflows
Risk scores from a predictive analytics platform land directly in the tools advisors already use, instead of a separate dashboard nobody checks.
AI admissions scoring feeding the CRM pipeline
Application scoring and enrollment-likelihood models write back into the CRM record itself, so admissions staff see it where they're already working.
Find out exactly where your data breaks down
A systems audit takes two to three weeks. You'll get a map of every integration currently running, every one that's missing, and a prioritized list of what to fix first.