A major research university deployed EduAssist AI — a conversational chatbot that auto-resolves 80% of student FAQs, paired with a predictive model that flags at-risk students from LMS engagement data and alerts human advisors — lifting retention by 12% in one academic year.
I hear you, Jamie. You're not alone — and I'm here to help. 💙
I can connect you with a success coach today, or show you tutoring resources. What would help most?
Sarah K. · Success Advisor
Hi Jamie! I've reviewed your situation. Let's schedule a 30-min call tomorrow at 2pm to map out a plan. Sound good?
Retention lifted
+12%
Always here for students
Of routine student FAQs handled by AI
Year-over-year retention improvement
Always-on support for every student
Students proactively supported
The university's advising office was drowning. Students asked the same questions repeatedly — financial aid deadlines, registration holds, tutoring locations — while at-risk students slipped through the cracks. Advisors spent 70% of their time on routine queries instead of meaningful interventions.
Advisor caseload: 498 students each
3x the recommended ratio for meaningful support
70% of advisor time on routine FAQs
Financial aid, registration, deadlines — repetitive queries
At-risk students identified too late
Only after midterms — when intervention is hardest
78% first-year retention rate
Below peer institutions · $14M in lost tuition annually
Student-to-advisor ratio
Advisor time on routine FAQs
First-year retention rate
Annual tuition lost to attrition
38% of students needed support — but only 9% received proactive outreach.
A conversational AI handles routine questions instantly, while a predictive model monitors LMS engagement and flags at-risk students — so human advisors can focus where they matter most.
EduAssist Chatbot
An LLM-powered chatbot trained on university policies, course catalogs, financial aid rules, and campus resources. Available 24/7 via web, mobile app, and SMS — in 12 languages.
Early-Warning Engine
ML model analyzes LMS logins, assignment submissions, grade trends, and engagement patterns weekly. Flags at-risk students 4–6 weeks before traditional indicators — alerting advisors with context.
The chatbot frees up advisor capacity. The predictive model tells advisors who to reach out to and why. Together, they transform a reactive, overwhelmed office into a proactive, personalized support system — without hiring a single new advisor.
Every student gets instant answers. At-risk students get human support — before they even ask.
Student asks question
"When is the tuition deadline?" · 2 AM · via mobile app
AI retrieves answer
Pulls from policy KB + student's specific account data
Personalized response
"Your tuition is due Nov 15. Here's your balance + payment link."
Resolved in 1.8 seconds
No advisor time used · Student satisfied
Model detects pattern
LMS logins down 60% · 3 missed assignments · grade drop
Advisor alerted with context
"Jamie M. · Risk score 82 · Suggested outreach script"
Proactive outreach
Advisor calls · student connected to tutoring + counseling
Student retained · 4 weeks early
Advisor time used meaningfully · Life changed
Advisors see a prioritized queue of students who need them most — with context, suggested actions, and conversation history from the AI. No more guessing who to call first.
Prioritized queue
Students ranked by risk score · highest-need first.
Context-rich alerts
Why the student is at-risk · what the AI already tried.
FERPA-protected
Role-based access · audit logs · encrypted at rest.
ADVISOR QUEUE · SARAH K.
--:--:--
Jamie M. · Biology
LMS inactive 9 days · 3 missed assignments
92
RISK
Aisha P. · Engineering
Grade drop 28% · chat asked about withdrawal
78
RISK
Devon K. · Psychology
First-gen · financial aid hold · no logins
71
RISK
Lena R. · Business
Mid-term concern · requested tutoring
54
RISK
AI: 3 new at-risk flags this hour · 12 chats auto-resolved · 0 escalations
"We went from drowning in routine questions to reaching students before they fall behind. For the first time, my advisors feel like they're actually advising — not just answering the same questions all day."
Dr. Rebecca Morales
VP of Student Success, Pacific State University
Tuition retained
Students proactively supported
Advisor hours saved
3-year ROI multiple
Payback period
Under 5 months
Based on 42,800-student deployment · full academic year
See how EduAssist AI can lift retention, free your advisors, and deliver 24/7 personalized support — at university scale.