Detect Early Disengagement
Identify changes in student activity and participation early to prevent dropouts and protect institutional revenue.
Identify at-risk students early, improve retention, and ensure more learners stay enrolled and successfully complete their programs.
When students drop out, institutions lose significant revenue tied to enrollment and long-term academic value.
Lower retention impacts institutional performance, reputation, and future enrollments.
Without clear insights, early signs of student struggle go unnoticed until it's too late to act.
Gain clear visibility into student progress and take timely action to keep learners engaged and enrolled.
Identify changes in student activity and participation early to prevent dropouts and protect institutional revenue.
Analyze engagement, behavior, and academic progress to ensure students stay on track and continue their learning journey.
Spot students likely to drop out and intervene early to reduce revenue loss.
Provide targeted support and guidance to retain more students and increase overall institutional revenue.
Quickly set up and begin increasing revenue through better student retention.
Integrate your LMS or learning system to start tracking student activity and engagement.
Gain insights into participation, progress, and learning patterns across courses.
Spot students who may be at risk based on real-time engagement and performance signals.
Provide timely interventions to retain students and increase institutional revenue.
+35%
Higher retention, more revenue
-50%
Fewer drop outs, less revenue loss
1.5x
Higher student engagement
Stronger
Revenue stability
Designed for LTI 1.3 compatible LMS platforms, AI Mentor enables secure,
standards based integration without disrupting your existing infrastructure.