Close the advising gap at your institution with purpose-built AI agents that handle degree audits, at-risk outreach, and transfer planning — without replacing your advisors or breaking your budget.
On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network.
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Community college advisors routinely carry caseloads of 500 to 1,000+ students, making proactive, personalized advising nearly impossible.
Students fall through the cracks — missing transfer deadlines, selecting wrong courses, or stopping out entirely — not from lack of effort, but from lack of capacity.
iBL.ai deploys AI advising agents that work alongside your staff, handling routine inquiries and flagging at-risk students so advisors can focus on high-impact conversations.
The national average student-to-advisor ratio at community colleges exceeds 900:1, far above the NACADA-recommended 300:1. Advisors cannot proactively reach every student.
900:1 avg student-to-advisor ratioOnly 39% of community college students complete a credential within six years. Many stop out due to unresolved scheduling conflicts, financial confusion, or missed milestones that an advisor never had time to catch.
Only 39% credential completion rateTransfer pathways involve dozens of agreements, course equivalencies, and deadlines. Advisors spend hours manually cross-referencing articulation tables, leaving less time for student-facing work.
Avg 4+ hours/week per advisor on transfer researchCommunity colleges often lack dedicated IT teams to implement and maintain enterprise software. Solutions that require heavy customization or ongoing vendor support are cost-prohibitive.
Avg IT staff 60% smaller than 4-year peersStudents need guidance connecting their program of study to local labor market outcomes. Most advising teams lack real-time workforce data tools, leaving students without career-aligned course planning.
Under 30% of CC students receive career-aligned advisingAI agents connect to Banner, Ellucian, or PeopleSoft to pull live degree audit data and answer student questions about remaining requirements, substitutions, and graduation eligibility — 24/7.
Agents monitor enrollment patterns, grade submissions, and login activity to identify at-risk students early and trigger personalized outreach messages before students stop out.
AI agents surface transfer articulation agreements, TAG requirements, and course equivalencies in real time, helping students build transfer-ready course maps aligned to their target four-year institution.
Agents integrate local labor market data to recommend electives, certificates, and stackable credentials that align with in-demand careers in the student's region.
Students can book, reschedule, and receive reminders for advising appointments through the AI agent. Post-appointment summaries and action items are automatically logged.
Human advisors receive a prioritized dashboard of students flagged by the AI, with conversation history and recommended next steps — so every interaction is informed and efficient.
Map existing advising workflows, connect to SIS (Banner, Colleague, PeopleSoft), and configure FERPA-compliant data pipelines. No new infrastructure required.
Build the advising agent's knowledge base from your catalog, articulation agreements, program maps, and institutional policies. Configure at-risk detection thresholds with advising staff input.
Deploy the agent to a pilot cohort of students. Train advisors on the dashboard, escalation workflows, and how to review and override AI recommendations.
Roll out to the full student population. Establish a feedback loop between advisors and the AI team to refine agent responses, update articulation data each term, and expand capabilities.
Students email or visit the advising office and wait days for a response on remaining requirements.
AI agent pulls live degree audit data and answers in real time, any time of day or night.
Advisors manually review rosters mid-semester, often too late to intervene before a student withdraws.
AI monitors engagement signals daily and triggers personalized outreach the moment risk indicators appear.
Advisors spend hours cross-referencing articulation agreements from PDFs and outdated spreadsheets.
AI agent surfaces current articulation agreements and builds a transfer-ready course map in minutes.
Advisors are booked weeks out; students with urgent questions have no timely support option.
AI handles routine questions autonomously, freeing advisor calendars for complex, high-need cases.
Career advising is siloed from academic advising; students rarely receive integrated guidance.
AI agent recommends stackable credentials and electives tied to local labor market demand during every advising interaction.
The underlying platform for building, deploying, and managing advising agents on your own infrastructure — ensuring zero vendor lock-in and full institutional ownership of agent logic and student data.
Supports workforce alignment advising by assessing student skills, recommending stackable credentials, and tracking progress toward industry-recognized certifications alongside degree requirements.
ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.
Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform — the stack itself is yours.
Run any LLM — Claude, GPT, Gemini, Llama, Command, or your own fine-tune — and switch providers without rewriting the platform.
Usage-based billing against a budget cap you set. Cost tracks what your organization actually uses, not how many people you employ.
Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity.
1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.
ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.