Purpose-built AI agents automate course registration, transcript processing, transfer credit evaluation, and policy interpretation — fully integrated with your existing SIS and compliant with FERPA from day one.
Research university registrar offices manage tens of thousands of students across hundreds of programs, yet most still rely on manual workflows, siloed legacy systems, and overwhelmed staff.
During peak registration periods, staff are buried in repetitive inquiries, transfer credit backlogs grow for weeks, and students wait days for answers that AI could provide in seconds.
With ibl.ai, your registrar's office deploys intelligent agents that integrate directly with Banner, PeopleSoft, or any SIS — automating high-volume tasks while keeping your team in control of policy and exceptions.
During open enrollment windows, registrar staff field thousands of identical questions about waitlists, prerequisites, and add/drop deadlines — leaving complex cases unattended.
Up to 70% of registration-period inquiries are repetitive and answerable by AIManual review of transfer transcripts from hundreds of institutions creates multi-week backlogs, delaying student enrollment decisions and financial aid disbursement.
Average transfer credit evaluation takes 3–6 weeks at large research universitiesHigh volumes of official transcript requests, holds verification, and degree audit confirmations strain staff capacity, especially during graduation season.
Transcript processing errors cost institutions an average of $200K+ annually in reworkStudents receive inconsistent answers about academic policies from different staff members, leading to appeals, grievances, and compliance risk.
Policy misinterpretation accounts for 35% of student academic appeals at large universitiesSiloed Banner, PeopleSoft, and homegrown systems prevent a unified student view, forcing staff to manually reconcile data across platforms for every complex case.
Staff spend an estimated 40% of their time on data lookup and manual reconciliation tasksAn AI agent answers student questions about course availability, prerequisites, waitlists, and add/drop policies in real time — 24/7 — pulling live data directly from your SIS.
AI agents analyze incoming transfer transcripts against your institution's equivalency rules, flag edge cases for human review, and dramatically reduce evaluation turnaround time.
Streamline official and unofficial transcript requests, holds verification, and status updates through AI-driven workflows integrated with your existing transcript fulfillment systems.
A purpose-built agent trained on your institution's academic policies, catalog, and procedures delivers consistent, accurate answers to students and staff — reducing appeals and compliance risk.
AI agents assist advisors and students in interpreting degree audit reports, identifying missing requirements, and flagging graduation clearance issues before they become bottlenecks.
Automate the issuance and verification of enrollment confirmations, degree verifications, and digital credentials — reducing manual staff effort and third-party verification delays.
Audit existing registrar workflows, map SIS data structures (Banner, PeopleSoft, etc.), and establish secure API connections. Define agent roles, FERPA compliance boundaries, and escalation rules.
Train AI agents on your institution's academic catalog, transfer equivalency tables, registration policies, and historical inquiry data. Configure the Policy Interpretation Agent with versioned policy documents.
Deploy agents in a controlled pilot with a subset of students and staff. Conduct registrar staff training, gather feedback, refine agent responses, and validate SIS data sync accuracy.
Scale agents to the full student population, activate credential verification workflows, and establish ongoing monitoring. Set up quarterly policy refresh cycles and performance dashboards.
Students wait 1–2 days for email responses about waitlists, prerequisites, and add/drop deadlines during peak periods.
AI agent provides instant, accurate answers 24/7 by querying live SIS data — no staff intervention required for routine questions.
Staff manually review paper and PDF transcripts against printed equivalency tables, creating weeks-long backlogs.
AI agents parse incoming transcripts, match courses to equivalency rules, and surface only edge cases for human review — cutting turnaround by 75%.
Students receive inconsistent policy answers depending on which staff member they reach, leading to confusion and appeals.
A single Policy Interpretation Agent trained on the official catalog delivers consistent, citable answers to every student every time.
Manual transcript request handling and third-party verification create multi-day delays and error-prone paper trails.
Automated transcript workflows and Agentic Credential verification reduce processing time and eliminate manual reconciliation.
Registrar staff are overwhelmed during registration windows, leading to burnout, errors, and deferred complex casework.
AI agents absorb 70%+ of routine inquiry volume, freeing staff to focus on exceptions, appeals, and high-value student interactions.
The core platform for building, deploying, and managing purpose-built registrar AI agents — including registration assistants, transfer credit evaluators, and policy interpretation agents — fully integrated with your SIS on your own infrastructure.
Automates enrollment verification, degree confirmation, and digital credential issuance for research university registrar offices — reducing manual processing and enabling instant third-party verification.
Extends registrar support into personalized student guidance — helping students navigate degree requirements, registration decisions, and academic policy questions through an always-available AI mentor tied to their individual academic record.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.