Deploy purpose-built AI agents that standardize prospect engagement, accelerate application review, and improve yield across every campus — without replacing your existing systems.
State university systems face a unique admissions challenge: dozens of campuses, each with its own processes, staff, and data — yet applicants expect a seamless, consistent experience.
Data silos between Banner, PeopleSoft, and campus CRMs mean counselors lack a unified view of prospects. Yield strategies vary wildly by campus, and high-volume application seasons overwhelm staff.
The result is inconsistent communication, slow review cycles, and lost enrollments — especially among first-generation and underrepresented students who need the most guidance.
Prospect and applicant data lives in disconnected systems across campuses, making system-wide reporting, personalized outreach, and coordinated yield strategies nearly impossible.
73% of multi-campus systems report data silos as their top enrollment challengeStudents applying to multiple campuses within the same system receive different communications, timelines, and support — eroding trust and increasing melt rates.
Up to 40% of admitted students who melt cite poor communication as a factorCounselors spend 60–70% of their time on repetitive tasks — answering FAQs, chasing documents, and manually reviewing transcripts — leaving little time for high-value student engagement.
Average counselor manages 500+ applications per cycleManual transcript review and credential verification create bottlenecks that delay admission decisions, frustrating applicants and disadvantaging your system against faster competitors.
Manual transcript review adds 5–12 days to average decision timelinesWithout predictive intelligence, yield interventions are reactive and generic. State systems lose high-intent students to private institutions with more personalized follow-up.
Yield rates at public universities average 22% vs. 40%+ at selective privatesDeploy a system-wide AI agent that engages prospects across all campuses with personalized, on-brand messaging — answering questions, nurturing interest, and routing to the right campus counselor automatically.
Accelerate holistic review with AI agents that surface key applicant signals, flag incomplete files, and provide counselors with structured summaries — reducing review time without removing human judgment.
AI agents parse, classify, and evaluate transcripts from thousands of high schools and institutions — mapping coursework to system-wide equivalencies and flagging exceptions for human review.
Identify at-risk admits before they melt. AI agents analyze engagement signals, financial aid status, and behavioral data to trigger personalized yield interventions at the right moment.
Coordinate enrollment workflows across campuses from a single AI operating layer — standardizing SLA timelines, escalation paths, and reporting without disrupting campus autonomy.
Streamline transfer admissions with AI-powered credential evaluation that maps prior learning, military credits, and dual enrollment to system-wide articulation agreements in real time.
Audit existing admissions tech stack across campuses — Banner, PeopleSoft, Slate, CRMs — and map data flows, identify silos, and define system-wide agent roles and governance model.
Deploy prospect communication and application review agents on pilot campuses. Connect to existing CRM and SIS. Train agents on campus-specific FAQs, policies, and program data.
Expand all agents across remaining campuses. Activate predictive yield intelligence and transcript evaluation agents. Establish system-wide reporting and cross-campus coordination workflows.
Monitor agent performance, refine yield models with each cycle's data, and expand agent capabilities based on counselor feedback and enrollment outcomes.
Generic bulk emails sent on fixed schedules with no personalization across campuses
AI agents send personalized, behavior-triggered messages tailored to each prospect's interests and campus fit
Counselors manually read every file, re-entering data from transcripts and writing summaries from scratch
AI surfaces structured summaries, flags missing documents, and highlights key signals — counselors review and decide
Reactive outreach after students miss deposit deadlines, with no predictive signals
AI identifies melt risk 3–6 weeks early and triggers personalized interventions before students disengage
Each campus operates independently with no shared data, leading to duplicated effort and inconsistent applicant experience
Unified AI layer provides system-wide visibility while preserving campus autonomy and local customization
Manual review of thousands of transcripts creates 1–2 week backlogs during peak season
AI evaluates and maps transcripts in minutes, routing only exceptions to human evaluators
The core platform for building, deploying, and orchestrating admissions AI agents across all campuses — integrating with Banner, Slate, PeopleSoft, and existing CRMs while running on your own infrastructure.
Purpose-built for transcript evaluation, transfer credit mapping, and credential verification at scale — critical for state systems processing thousands of transfer and first-year applications each cycle.
Deploy personalized AI mentoring agents that guide admitted students through enrollment steps, financial aid questions, and orientation — reducing melt and improving first-year retention from day one.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.