Deploy purpose-built AI agents that monitor at-risk students, coordinate interventions, and scale personalized support across 15,000–60,000 students — all on your own infrastructure.
Research universities face a retention crisis hidden in data silos. Early warning signals exist across Banner, Canvas, and advising platforms, but no single team sees the full picture in time to act.
Student success staff are overwhelmed. Advisors manage hundreds of cases manually, intervention workflows live in spreadsheets, and tutoring coordination is reactive rather than proactive.
The result: students fall through the cracks not from lack of resources, but from lack of connected, intelligent systems that can act at scale.
Manual flag reviews mean at-risk students are often identified weeks too late. Advisors receive alerts but lack bandwidth to triage and act on all of them in time.
Only 29% of flagged students receive a timely intervention within 7 days (EAB, 2023)Student data is scattered across Banner, PeopleSoft, Canvas, and Blackboard. No unified view means advisors spend more time gathering data than helping students.
Advisors spend up to 40% of their time on administrative data tasksCase tracking is manual and inconsistent across departments. Without structured workflows, follow-through on interventions is unreliable and hard to audit.
60% of intervention cases lack documented follow-up (Civitas Learning, 2022)Matching students to tutoring resources across a large research university is time-intensive. Demand spikes mid-semester while supply remains static and uncoordinated.
Up to 35% of students who need tutoring never access it due to friction in the processRetention dashboards are often backward-looking and built for compliance, not action. Leaders lack real-time insight into which cohorts are trending toward attrition.
Average 6-year graduation rate at research universities is 68%, leaving significant room for improvement (NCES, 2023)AI agents continuously analyze LMS activity, grade trends, attendance, and SIS data to surface at-risk students before they disengage — triggering alerts with recommended next actions.
Structured AI-driven workflows route flagged students to the right advisor, counselor, or resource. Every case is tracked, timestamped, and auditable for compliance and reporting.
MentorAI agents provide on-demand academic support 24/7, intelligently escalating to human tutors when needed. Reduces friction and scales personalized help across all disciplines.
Aggregates data from Banner, PeopleSoft, Canvas, and Blackboard into a single advisor view. Real-time cohort health scores and intervention status replace disconnected spreadsheets.
AI-generated retention reports segment by college, cohort, demographics, and risk tier. Enables proactive leadership decisions rather than end-of-semester post-mortems.
All AI agents run on your infrastructure. Student data never leaves your environment. Full FERPA, HIPAA, and SOC 2 compliance by design — with zero vendor lock-in.
Audit existing SIS, LMS, and advising tools. Map data flows from Banner, Canvas, and Blackboard. Define at-risk signal logic with student success leadership.
Deploy early alert and case management agents on institution infrastructure. Connect to Banner/PeopleSoft and Canvas/Blackboard via secure APIs. Configure MentorAI for priority courses.
Run a controlled pilot with 2–3 colleges or cohorts. Train advisors and student success staff. Calibrate alert thresholds based on real intervention outcomes and advisor feedback.
Scale to all colleges and student populations. Activate retention reporting dashboards for institutional leadership. Establish continuous improvement cadence with AI performance reviews.
Manual review of LMS and grade reports weekly; alerts often delayed 2+ weeks
AI agents monitor signals daily across all systems; advisors receive prioritized, actionable alerts within 24 hours
Spreadsheet-based tracking with inconsistent follow-up and no audit trail
Structured AI workflows with automated routing, timestamped actions, and full case history for compliance
Students self-navigate to tutoring centers; high drop-off due to scheduling friction
MentorAI provides instant 24/7 support and proactively connects students to human tutors when needed
Semester-end reports built manually in Excel; no real-time cohort visibility
Live AI dashboards show cohort health scores, intervention status, and attrition risk by college and demographic
Advisors log into 4–6 separate systems to build a student profile before each meeting
Unified advisor dashboard aggregates SIS, LMS, and advising data into a single, real-time student view
Provides 24/7 AI tutoring and academic mentoring agents that scale personalized student support across large research university populations, reducing tutoring access friction and proactively engaging at-risk students.
An AI-native LMS that integrates with existing Canvas or Blackboard environments, enabling continuous monitoring of student engagement signals and powering early alert workflows directly within the learning environment.
The foundational platform for building and deploying custom student success agents — including early alert monitors, intervention case managers, and retention reporting agents — on the university's own infrastructure with full data ownership.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.