Deploy purpose-built AI agents that guide prospects from inquiry to enrolled student—without adding headcount. ibl.ai runs on your infrastructure, integrates with Banner or PeopleSoft, and stays fully FERPA compliant.
Community college admissions teams are stretched thin. High inquiry volumes, complex transfer articulation, and workforce-aligned program matching demand more than any small staff can deliver.
Prospects who don't hear back quickly enroll elsewhere. Manual application review and transcript evaluation create bottlenecks that delay starts and hurt yield rates.
ibl.ai gives your team AI agents that work 24/7—answering questions, reviewing documents, and nudging applicants through each step—so your staff focuses on the students who need human support most.
Community college admissions offices receive hundreds of inquiries weekly with staff ratios that make timely, personalized responses nearly impossible.
Average response time exceeds 48 hours at 60% of community collegesAccepted students who don't enroll represent lost tuition and mission impact. Without automated nudges, melt rates at community colleges can reach 20–40%.
Up to 40% of accepted community college students never enrollEvaluating transfer transcripts and prior learning credits is time-consuming and inconsistent, delaying enrollment decisions and frustrating prospective students.
Transcript review averages 5–10 days per applicant at under-resourced institutionsMost community colleges cannot afford enterprise SIS overhauls. Admissions teams rely on legacy systems that don't support modern automation or AI-driven workflows.
Community colleges spend 38% less per student on IT than four-year institutionsMatching prospects to the right workforce or transfer pathway requires nuanced advising. Generic chatbots fail to map student goals to specific program outcomes.
Over 50% of community college students report uncertainty about program fit at enrollmentA purpose-built AI agent answers program questions, collects contact info, and qualifies prospects around the clock—reducing response time from days to seconds and keeping your pipeline warm.
AI-driven outreach sequences send personalized SMS, email, and portal nudges to accepted students at key decision points, dramatically reducing summer melt without manual follow-up.
Agents extract, classify, and cross-reference transfer credits against your articulation agreements, surfacing recommendations for staff review and cutting evaluation time by up to 70%.
Using student-stated goals and labor market data, AI agents recommend the best-fit certificate, degree, or transfer pathway—aligning enrollment with regional workforce demand.
Students receive real-time updates on missing documents, next steps, and deadlines through an AI agent integrated directly with Banner, PeopleSoft, or your existing SIS.
Agentic Credential evaluates industry certifications, military training, and prior learning portfolios against program requirements, accelerating credit recognition and time-to-enrollment.
Map existing admissions workflows, connect ibl.ai to your SIS (Banner, PeopleSoft, or Colleague), and configure FERPA-compliant data pipelines. No rip-and-replace required.
Build and train your prospect engagement and yield nurture agents using your program catalog, articulation agreements, FAQs, and enrollment policies as the knowledge foundation.
Deploy agents to a defined prospect cohort, train admissions staff on the human-in-the-loop dashboard, and establish escalation protocols for complex cases.
Scale agents across all prospect and applicant touchpoints, activate transcript evaluation and credential recognition workflows, and establish monthly optimization reviews.
Admissions staff manually respond to emails and voicemails during business hours, with multi-day delays that cause prospect drop-off.
AI agents respond instantly 24/7 across web chat, SMS, and email—qualifying prospects and booking advising appointments automatically.
Accepted students receive a single welcome letter. Follow-up depends on staff capacity, leaving many students without timely nudges toward enrollment.
Personalized AI-driven nurture sequences guide each accepted student through orientation sign-up, financial aid steps, and course registration with zero manual effort.
Registrar staff manually review paper or PDF transcripts, cross-referencing articulation tables in spreadsheets—a slow, error-prone process.
AI agents extract and classify transfer credits, match them to articulation agreements, and surface a draft evaluation for staff approval in hours.
Prospects receive a generic program brochure or wait days for an advisor callback to discuss which certificate or degree fits their goals.
AI agents ask structured questions about career goals and prior experience, then recommend the best-fit workforce or transfer pathway in real time.
Adopting new admissions technology requires costly SIS migrations or reliance on vendor-hosted platforms with ongoing subscription lock-in.
ibl.ai agents deploy on your existing infrastructure, integrate with Banner or PeopleSoft via API, and are fully owned by your institution—no vendor lock-in.
The core platform for building, deploying, and managing purpose-built admissions agents—prospect engagement, yield nurture, and transcript evaluation—integrated with your existing SIS and running on your own infrastructure.
Extends admissions support into early enrollment advising, helping new students navigate program selection, orientation requirements, and first-semester planning through a personalized AI mentoring agent.
Automates prior learning assessment and industry credential recognition, enabling faster credit evaluation for workforce students and veterans—accelerating time-to-enrollment and improving access.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.