Deploy purpose-built AI agents that standardize research support, reference services, and collection management across your entire state university system — without replacing the tools your librarians already use.
State university library systems serve tens of thousands of students across multiple campuses, yet most operate with siloed data, inconsistent service levels, and no shared intelligence layer.
A student at one campus gets instant research guidance while a peer at another waits days for the same help. Reference librarians duplicate effort, collections overlap without coordination, and digital repositories remain underutilized.
Without a system-wide AI strategy, libraries cannot scale expertise, close service gaps, or demonstrate measurable impact — putting budgets and relevance at risk.
Students and faculty receive inconsistent research support depending on which campus they attend, creating inequitable access to library expertise across the system.
Up to 60% variance in reference response times across campuses in multi-site systemsLibrarians spend the majority of their time answering repetitive directional and basic research questions, leaving little capacity for high-value instruction and specialized consultations.
Over 70% of reference queries are repetitive and answerable without specialist interventionInstitutional repositories hold thousands of research assets that go undiscovered because metadata is inconsistent, search is poor, and students lack guidance on how to find or use them.
Fewer than 15% of students regularly access institutional repository contentEach campus manages acquisitions independently, leading to costly duplication, coverage gaps, and missed opportunities for system-wide licensing and resource sharing.
Multi-campus systems report 20-35% redundancy in licensed database subscriptionsOne-shot library instruction sessions cannot scale to meet demand, and asynchronous tutorials lack personalization — leaving most students underprepared for college-level research.
Only 1 in 4 students receives formal research instruction before their first major assignmentA purpose-built conversational agent trained on your library's collections, policies, and research guides. It handles tier-1 and tier-2 reference queries 24/7 across all campuses, escalating complex needs to human librarians with full context.
MentorAI delivers adaptive, course-integrated research instruction to students at the moment of need — guiding them through database selection, search strategy, source evaluation, and citation — personalized to their assignment and discipline.
An AI agent that surfaces relevant institutional repository content proactively within student and faculty workflows, improving discoverability and driving measurable increases in repository engagement across the system.
Agentic OS aggregates usage data, overlap analysis, and gap identification across all campus collections, giving library directors a unified dashboard to optimize acquisitions and negotiate system-wide licensing.
Agentic Content automatically generates, updates, and personalizes LibGuides-style research guides by subject, course, and campus — keeping content current without burdening subject librarians.
Agentic Credential issues verified digital badges and micro-credentials for information literacy competencies, giving students portable proof of research skills and giving the library measurable learning outcomes.
Audit existing library systems, data sources, and workflows across all campuses. Map integration points with ILS, discovery layers, LMS, and student information systems. Define system-wide service standards and AI agent roles.
Deploy the AI Reference Agent and MentorAI research instruction on one or two pilot campuses. Integrate with existing discovery layer and LMS. Train librarians on agent oversight, escalation handling, and performance review.
Expand all agents across every campus in the system. Activate collection intelligence aggregation, repository discovery agent, and Agentic Content for research guide automation. Connect to Banner or PeopleSoft for student context.
Launch information literacy credentialing program. Establish system-wide AI governance policies, data ownership documentation, and continuous improvement cycles. Deliver executive reporting framework for library leadership.
Students wait hours or days for responses; service quality varies by campus and staffing levels
AI Reference Agent provides instant, consistent 24/7 support across all campuses with seamless human escalation
One-shot sessions reach a fraction of students; no personalization or follow-up at scale
MentorAI delivers adaptive, course-integrated research guidance to every student at the moment of need
Each campus acquires independently; system-wide overlap and gaps go undetected until budget reviews
Unified collection intelligence dashboard surfaces redundancies and gaps in real time for coordinated acquisitions
Repository content is hard to find; students and faculty are unaware of available institutional research assets
AI discovery agent proactively surfaces relevant repository content within student and faculty workflows
Library impact on student success is anecdotal; no verifiable information literacy outcomes to report
Agentic Credential issues verified digital badges tied to measurable competencies, providing concrete outcome data
Delivers personalized, adaptive research instruction and reference support to students across all campuses at the moment of need, scaling library expertise without adding headcount.
The core platform for building, deploying, and managing purpose-built library AI agents — including reference, collection intelligence, and repository discovery — across a multi-campus state university system with full institutional ownership.
Issues verified digital badges and micro-credentials for information literacy competencies, giving the library measurable learning outcomes and students portable proof of research skills recognized across the system.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.