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Library ServicesHBCU

AI-Powered Library Services Built for HBCUs

Deploy purpose-built AI agents that extend your library staff's reach, support student research success, and preserve your institution's unique collections — all on infrastructure you own and control.

The Problem

HBCU libraries serve students who often arrive with research skill gaps and limited prior exposure to academic library resources, yet these same libraries operate with significantly fewer staff and smaller budgets than peer institutions.

Deferred technology investments have left many HBCU libraries unable to offer the 24/7 reference support, personalized research instruction, and modern discovery tools that students increasingly expect and need to succeed.

The result is a compounding equity gap: students who need the most research guidance receive the least, contributing to retention challenges and limiting the academic outcomes that HBCUs work tirelessly to improve.

Chronic Understaffing in Reference Services

HBCU libraries average fewer than 3 professional librarians per institution, making it impossible to provide individualized research support at scale during peak demand periods like midterms and finals.

HBCUs average 40% fewer library staff per student than predominantly white institutions

Research Skill Gaps Hurting Retention

First-generation students — who make up a disproportionate share of HBCU enrollment — often lack foundational research skills, leading to academic frustration, lower grades, and increased dropout risk.

First-gen students are 11% less likely to persist when they lack academic support resources

Underfunded Digital Repository Infrastructure

Many HBCUs hold irreplaceable collections of Black history, culture, and scholarship, but lack the technology and staff capacity to digitize, catalog, and make these materials discoverable to researchers worldwide.

Over 60% of HBCU special collections remain undigitized or inaccessible online

Limited After-Hours Research Support

Students studying late or on weekends have no access to reference assistance, forcing them to abandon research tasks or submit lower-quality work — a gap that disproportionately affects working students common at HBCUs.

Over 70% of student research activity occurs outside standard library hours

Disconnected Alumni and Community Engagement

HBCU libraries struggle to maintain meaningful connections with alumni donors and community researchers who could support collections and funding, lacking tools to surface relevant resources and sustain engagement.

HBCU alumni giving rates average 7% vs. 18% at comparable non-HBCU institutions

AI Capabilities

24/7 AI Reference Agent

Deploy a purpose-built reference agent trained on your library's databases, subject guides, and institutional resources. Students get accurate, cited research guidance at any hour without waiting for staff availability.

Personalized Research Instruction

AI-driven research literacy modules that adapt to each student's skill level, course requirements, and assignment type — helping first-generation students build confidence and competency at their own pace.

Digital Repository Intelligence

AI agents that assist with metadata generation, content tagging, and discoverability enhancement for special collections — accelerating digitization workflows without requiring additional cataloging staff.

Collection Management Automation

Analyze circulation data, usage patterns, and curriculum alignment to generate evidence-based collection development recommendations, helping librarians maximize limited acquisition budgets.

AI-Powered Research Skills Credentialing

Issue verifiable digital badges and credentials as students complete research literacy milestones, creating a documented record of information literacy skills valued by graduate programs and employers.

Alumni and Community Research Portal

Engage alumni and community researchers with an AI-assisted discovery portal that surfaces relevant HBCU collections, suggests donation opportunities, and maintains ongoing connection to institutional scholarship.

Implementation Timeline

1

Discovery and Integration Setup

2-3 weeks

Audit existing library systems, databases, and digital assets. Connect ibl.ai to your current ILS, discovery layer, and institutional systems including Banner or PeopleSoft for student data integration.

  • System integration map
  • Library knowledge base inventory
  • FERPA compliance configuration
  • Staff onboarding plan
  • AI agent architecture design
2

Reference and Instruction Agent Deployment

3-4 weeks

Launch the 24/7 AI reference agent trained on your specific databases, subject guides, and institutional resources. Deploy adaptive research instruction modules aligned to high-enrollment courses.

  • Live AI reference agent
  • Subject-specific research guides integrated
  • Research literacy module library
  • Student-facing portal
  • Librarian oversight dashboard
3

Digital Repository and Collection Intelligence

3-4 weeks

Activate AI-assisted metadata generation for special collections and digital repository workflows. Deploy collection management analytics to inform acquisition and weeding decisions.

  • Repository AI workflow active
  • Metadata generation pipeline
  • Collection analytics dashboard
  • Usage and gap reports
  • Digitization priority recommendations
4

Credentialing, Engagement, and Optimization

2-3 weeks

Launch research skills credentialing program and alumni research portal. Review performance data, refine agent responses, and expand capabilities based on librarian and student feedback.

  • Research literacy credential framework
  • Digital badge issuance active
  • Alumni discovery portal live
  • Performance optimization report
  • Roadmap for ongoing expansion

Expected Outcomes

+233%
Reference Query Response Rate
Limited to staffed hours, ~30% of queries answered same day100% of queries receive immediate AI-assisted response, 24/7
+31%
Research Assignment Completion Rates
62% of students complete research-intensive assignments on first submission81% first-submission completion after AI research instruction deployment
+367%
Special Collections Discoverability
Fewer than 15% of special collection items accessible via online discoveryUp to 70% of prioritized collections discoverable with AI-assisted metadata
+88%
Librarian Time on High-Value Tasks
~40% of librarian time spent on routine reference and administrative tasks~75% of librarian time redirected to instruction, outreach, and collection strategy

Before & After AI

Before

Students can only access reference help during limited staffed hours, leaving nights, weekends, and holidays uncovered

After

AI reference agent provides accurate, source-cited research guidance 24 hours a day, 7 days a week

Before

One-size-fits-all library instruction sessions delivered once per semester with no follow-up personalization

After

Adaptive AI modules deliver personalized research instruction tied to each student's course, assignment, and skill level

Before

Irreplaceable HBCU historical materials sit in physical storage, undiscoverable to outside researchers and alumni

After

AI-assisted cataloging accelerates digitization and makes collections searchable and shareable globally

Before

Acquisition decisions based on librarian intuition and vendor recommendations with limited usage data

After

Evidence-based recommendations generated from circulation analytics, curriculum alignment, and gap analysis

Before

No formal recognition of research literacy skills developed through library instruction

After

Students earn verifiable digital badges for research milestones, strengthening academic portfolios and graduate applications

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