ibl.ai deploys purpose-built AI agents that monitor at-risk signals, automate interventions, and provide 24/7 personalized support — so every online student has a success team in their corner.
Online universities face a silent crisis: up to 40% of students never finish their programs. Without physical campuses, early warning signs go undetected until it's too late.
Student success teams are overwhelmed. Manual case tracking, delayed outreach, and inconsistent tutoring coordination leave advisors reactive instead of proactive.
Scaling human support to thousands of geographically dispersed learners is cost-prohibitive. AI agents change that equation — delivering personalized, timely intervention at scale without sacrificing compliance or data ownership.
Online universities average 40–55% dropout rates, far exceeding traditional campus programs. Isolation and lack of timely support are primary drivers.
Up to 55% attrition in fully online programs (NCES)Advisors often receive risk flags days or weeks after warning signs appear. By then, disengaged students have already mentally withdrawn from their courses.
Average 14-day lag between risk signal and advisor outreachOnline student success advisors routinely manage 300–500 student caseloads, making meaningful, proactive outreach nearly impossible without automation.
1:400+ advisor-to-student ratio at many online institutionsCoordinating tutoring across time zones and asynchronous schedules creates gaps in academic support, especially for working adult learners.
62% of online students report difficulty accessing timely academic helpSiloed data across LMS, SIS, and advising platforms makes it hard to generate accurate, real-time retention dashboards for institutional leadership.
Most institutions rely on end-of-term data — too late to actContinuously analyzes LMS activity, grade trends, login frequency, and assignment submission patterns to surface at-risk students in real time — not at midterm.
AI agents triage risk levels, assign cases to advisors, draft personalized outreach messages, and log all touchpoints — reducing manual case management by over 60%.
MentorAI deploys subject-specific tutoring agents that provide instant academic support, answer course questions, and guide students through difficult concepts at any hour.
AI agents adapt support plans based on each student's learning behavior, risk profile, and program milestones — delivering the right intervention at the right moment.
Aggregates data from Canvas, Blackboard, Banner, and PeopleSoft into a unified retention intelligence layer, giving leadership actionable insights week over week.
AI agents flag anomalous submission patterns and support integrity workflows — critical for online programs where proctoring and verification are ongoing challenges.
Audit existing tech stack, map data flows from LMS and SIS, and configure secure integrations with Canvas, Blackboard, Banner, or PeopleSoft. Define risk signal thresholds with student success leadership.
Deploy early alert, intervention case management, and MentorAI tutoring agents on the institution's own infrastructure. Configure agent roles, escalation rules, and advisor workflows.
Run a controlled pilot with a defined student cohort. Measure alert accuracy, advisor response times, and student engagement with AI tutoring. Refine agent behavior based on real outcomes.
Scale agents across all programs and student populations. Activate retention analytics dashboards for institutional leadership. Establish ongoing optimization cadence with ibl.ai support.
Manual review of grade reports at midterm; risk identified too late for effective intervention
AI agents monitor 15+ behavioral signals daily and surface at-risk students within 24 hours of pattern change
Advisors manually log cases in spreadsheets, draft outreach emails from scratch, and track follow-ups inconsistently
AI agents auto-triage cases, generate personalized outreach drafts, and maintain a full audit trail in the advising system
Students wait days for tutoring appointments; support unavailable nights and weekends across time zones
MentorAI provides instant, subject-specific tutoring 24/7 — available in the LMS wherever students are learning
End-of-term retention reports compiled manually from multiple siloed systems; no real-time visibility
Live retention dashboard aggregates LMS, SIS, and advising data — updated weekly for leadership decision-making
Online students feel disconnected with no consistent touchpoint between enrollment and grade submission
AI agents provide proactive check-ins, milestone celebrations, and personalized nudges that sustain engagement throughout the term
Deploys 24/7 AI tutoring and mentoring agents that provide personalized academic support to online students at scale, directly reducing isolation-driven attrition.
AI-native learning management system with built-in early alert monitoring, engagement tracking, and student success workflows — purpose-built for online program delivery.
The underlying platform for building and deploying custom student success agents — including intervention case management and retention reporting — on your own infrastructure.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.