ibl.ai deploys purpose-built AI advising agents that extend your team's capacity, close retention gaps, and deliver personalized guidance to every student — at any hour.
HBCUs serve students who often face compounding barriers: financial stress, first-generation status, and limited institutional resources. Yet advising offices are stretched thin, with ratios exceeding 500 students per advisor.
When advisors are overwhelmed, early warning signs go unnoticed. Students miss degree milestones, accumulate excess credits, or quietly disengage — often before anyone intervenes.
ibl.ai gives HBCU advising teams an AI-powered force multiplier: agents that handle routine inquiries, flag at-risk students, and surface personalized degree pathways — so advisors can focus on the students who need them most.
Many HBCUs operate with advisor-to-student ratios of 500:1 or higher, making proactive outreach nearly impossible and reactive advising the norm.
NACADA recommends 1:250; many HBCUs exceed 1:500HBCU graduation rates average around 37%, often because at-risk students aren't identified until it's too late in the semester to course-correct.
Average 6-year HBCU graduation rate: ~37% (NCES)Chronic underfunding has left many HBCUs relying on legacy SIS platforms and manual processes, creating data silos that prevent a unified view of student progress.
HBCUs receive 30–40% less state funding per student than PWIs on averageWorking students and those with family obligations often can't access advising during business hours, leading to unanswered questions and poor course decisions.
Over 60% of HBCU students work while enrolled (UNCF)HBCUs have deeply loyal alumni networks, but connecting current students to relevant alumni mentors at scale remains a largely manual, inconsistent process.
Mentored students are 55% more likely to enroll in college (MENTOR)A purpose-built MentorAI agent answers degree requirement questions, explains policies, and guides course selection around the clock — in the student's own language and pace.
The AI agent reads live degree audit data from Banner or PeopleSoft and proactively alerts students to missing requirements, credit gaps, or sequencing conflicts before registration.
Agentic OS monitors engagement signals — missed check-ins, grade drops, registration inactivity — and triggers personalized outreach messages before students disengage entirely.
AI agents analyze a student's academic history, declared major, and career goals to recommend optimal course loads each term, reducing excess credits and time-to-degree.
The platform intelligently matches students with HBCU alumni based on major, career interests, and background — turning underutilized alumni networks into scalable mentorship pipelines.
All AI agents run on your infrastructure. Student data never leaves your control. ibl.ai is FERPA-compliant by design — no vendor lock-in, no data sharing with third parties.
Map existing advising workflows, connect to Banner/PeopleSoft/Canvas, and define the AI agent's scope, tone, and escalation rules in collaboration with advising staff.
Ingest institutional catalogs, degree maps, advising FAQs, and policy documents. Train the AI agent on HBCU-specific context, financial aid nuances, and student population needs.
Deploy the AI agent to a pilot cohort. Train advisors on the dashboard, escalation queue, and at-risk alerts. Collect feedback and iterate on agent responses.
Scale to the full student body. Activate alumni mentor matching, automated outreach campaigns, and semester-based degree audit nudges. Establish a continuous improvement cycle.
Students schedule an appointment and wait days to review degree progress
AI agent provides instant degree audit summaries and gap alerts 24/7
Advisors manually review spreadsheets; many at-risk students go uncontacted
Agentic OS auto-flags and contacts at-risk students within 24 hours of trigger
Generic course lists distributed at orientation; no personalization
AI recommends individualized course sequences based on major, history, and goals
Students with evening jobs have no advising access outside office hours
AI advising agent available 24/7 via web, mobile, or LMS integration
Alumni connections happen ad hoc through career fairs or personal networks
Automated mentor matching connects students to relevant alumni within days of enrollment
Deploys the 24/7 AI advising agent that handles degree audit questions, course planning guidance, and personalized student support — the core of the HBCU advising solution.
Powers at-risk student monitoring, automated outreach workflows, and alumni mentor matching — enabling proactive advising at scale without adding headcount.
Integrates AI advising agents directly into the learning management system, meeting students where they already are and surfacing advising nudges within their course experience.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.