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Student Success & RetentionHBCU

AI-Powered Student Success Built for HBCUs

ibl.ai gives HBCU student success teams intelligent early alerts, AI tutoring, and intervention tools — purpose-built for your mission, your students, and your budget.

The Problem

HBCUs enroll students who are often first-generation, Pell-eligible, and balancing work and family — yet retention gaps persist due to underfunded advising and support infrastructure.

Many HBCU student success teams manage hundreds of at-risk cases manually, relying on spreadsheets and reactive outreach rather than proactive, data-driven intervention systems.

Deferred technology investments mean staff are stretched thin. ibl.ai closes that gap with AI agents that monitor, flag, and support students — without replacing the human relationships that define the HBCU experience.

High At-Risk Caseloads, Thin Staff

HBCU advisors often carry caseloads of 400–600 students with limited support staff, making proactive outreach nearly impossible without automation.

Avg. HBCU advisor-to-student ratio: 1:524 (NACADA)

Late or Missed Early Alerts

Without real-time monitoring, warning signs like missed assignments, grade drops, or login inactivity go unnoticed until it's too late to intervene effectively.

60% of HBCU dropouts show warning signs 6+ weeks before leaving

Fragmented Intervention Tracking

Case notes, referrals, and follow-ups are scattered across email, spreadsheets, and siloed systems — making it hard to coordinate care across advising, financial aid, and tutoring.

Only 34% of HBCUs report integrated case management tools (UNCF)

Tutoring Access Gaps

Limited tutoring center hours and staffing mean many students — especially those working evening shifts — never access academic support when they need it most.

HBCU students are 2x more likely to work 30+ hours/week while enrolled

Retention Reporting Burden

Generating retention dashboards and grant compliance reports consumes hours of staff time each week, diverting energy from direct student support.

Staff spend avg. 6–10 hrs/week on manual retention reporting

AI Capabilities

AI-Powered Early Alert Monitoring

MentorAI agents continuously monitor LMS activity, grades, attendance, and engagement signals — automatically flagging at-risk students and routing alerts to the right advisor before problems escalate.

Intelligent Intervention Case Management

Agentic OS coordinates intervention workflows across advising, financial aid, and tutoring — logging every touchpoint, tracking follow-ups, and surfacing students who need escalated support.

24/7 AI Tutoring & Academic Mentoring

MentorAI provides personalized, on-demand tutoring in core subjects — available at midnight when students finish their shifts, with culturally responsive tone and HBCU-aligned content.

Automated Retention Reporting

Agentic LMS generates real-time retention dashboards and grant-ready compliance reports — pulling from Banner, PeopleSoft, and Canvas without manual data wrangling.

Seamless Integration with Existing Systems

ibl.ai connects to Canvas, Blackboard, Banner, and PeopleSoft out of the box — no rip-and-replace required, protecting your existing technology investments.

Institution-Owned AI Infrastructure

Your HBCU owns the AI agents, data, and infrastructure — zero vendor lock-in, full FERPA compliance, and complete control over how student data is used and stored.

Implementation Timeline

1

Discovery & System Integration

2–3 weeks

Connect ibl.ai to your existing SIS, LMS, and advising tools. Map current early alert workflows and identify the highest-impact intervention triggers for your student population.

  • Integration with Banner/PeopleSoft and Canvas/Blackboard
  • Early alert trigger configuration
  • Student risk profile baseline report
  • Staff onboarding kickoff
2

AI Agent Deployment & Pilot

3–4 weeks

Deploy MentorAI tutoring agents and early alert monitoring for a pilot cohort — typically first-year or probationary students. Train advisors on the intervention case management dashboard.

  • MentorAI tutoring agent live for pilot cohort
  • Early alert dashboard active
  • Advisor training sessions completed
  • First intervention case workflows configured
3

Full Rollout & Workflow Automation

3–4 weeks

Expand AI agents institution-wide. Automate intervention routing, tutoring referrals, and retention reporting. Configure alumni engagement touchpoints for near-completers.

  • Institution-wide early alert monitoring active
  • Automated intervention case routing
  • Retention reporting dashboard live
  • Alumni re-engagement agent configured
4

Optimization & Continuous Improvement

2–3 weeks

Review first-semester outcomes, refine alert thresholds, and expand AI tutoring content to additional subjects. Establish ongoing reporting cadence for leadership and grant reporting.

  • Retention outcome report (semester 1)
  • Refined risk scoring model
  • Expanded tutoring subject coverage
  • Grant compliance reporting template

Expected Outcomes

+12%
First-Year Retention Rate
62%74%
-89%
Avg. Time to Advisor Intervention
18 days after risk signal2 days after risk signal
+47%
Tutoring Utilization Rate
11% of at-risk students58% of at-risk students
-88%
Weekly Staff Hours on Retention Reporting
8 hours/week1 hour/week

Before & After AI

Before

Advisors manually review grade reports bi-weekly and send bulk emails to flagged students — most go unanswered.

After

AI agents monitor engagement daily, auto-route personalized alerts to advisors, and log every student touchpoint in real time.

Before

Tutoring center open 9am–5pm weekdays; students working evenings have no academic support after hours.

After

MentorAI available 24/7 on any device — students get personalized help at 11pm between shifts, in their own pace and language.

Before

Case notes in email threads and spreadsheets; no visibility across advising, financial aid, and faculty.

After

Unified case dashboard with automated follow-up reminders, cross-department visibility, and AI-suggested next actions.

Before

Staff spend a full day each month pulling data from Banner and Canvas to build retention reports for leadership and grant funders.

After

Agentic LMS auto-generates retention dashboards and grant-ready reports on demand — updated in real time.

Before

Vendor-hosted SaaS tools with annual price increases, limited customization, and student data leaving institutional control.

After

Institution-owned AI agents running on your infrastructure — full data sovereignty, no lock-in, and costs that scale with your budget.

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Frequently Asked Questions

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