Streamline course design, faculty support, and accessibility compliance across your entire research university with purpose-built AI agents. ibl.ai integrates with your existing LMS and SIS — no rip-and-replace required.
Instructional design teams at research universities are stretched thin. With 15,000–60,000 students, hundreds of faculty, and complex compliance mandates, small ID teams can't scale manually.
Siloed departments, legacy LMS platforms, and inconsistent course quality create bottlenecks that delay course launches and frustrate faculty. Accessibility audits alone can consume weeks of staff time per semester.
AI changes the equation. ibl.ai's purpose-built agents handle repetitive design tasks, surface compliance gaps automatically, and give every faculty member on-demand instructional support — freeing your team to focus on high-impact work.
Most research universities have 1 instructional designer per 150–300 faculty. Demand for course redesigns, new online programs, and LMS support far exceeds capacity.
1:200 average ID-to-faculty ratio at R1 universitiesWCAG and ADA compliance reviews are manual, time-consuming, and inconsistent. Courses with inaccessible content expose institutions to legal risk and harm student outcomes.
Up to 40% of course materials fail initial accessibility auditsBuilding a single online course from scratch can take 6–12 months. Faculty wait months for ID support, delaying program launches and reducing institutional agility.
Average new online course development: 6–9 monthsWithout scalable review processes, assessment quality varies widely across departments. Misaligned learning objectives and assessments undermine accreditation readiness.
Over 60% of course assessments lack documented alignment to learning outcomesResearch universities run Canvas, Blackboard, Banner, and PeopleSoft simultaneously. ID teams waste hours on manual data migration, course copying, and cross-system troubleshooting.
ID staff spend 30–40% of time on LMS administration vs. design workGenerate course outlines, learning objectives, module structures, and instructional scaffolding in minutes. AI agents align content to accreditation standards and institutional templates automatically.
Continuously audit course materials for WCAG 2.1 and ADA compliance. AI flags issues, suggests remediation, and tracks resolution — reducing legal risk and manual review time.
A dedicated AI agent answers faculty questions about LMS tools, course design best practices, and instructional strategies 24/7 — reducing ID team support tickets by up to 50%.
Design rubrics, formative assessments, and summative evaluations aligned to Bloom's Taxonomy and course outcomes. AI validates alignment and suggests improvements before publishing.
Automatically adapt existing course content for different modalities — online, hybrid, HyFlex — and reading levels. Repurpose lecture materials into interactive modules, quizzes, and summaries.
Connect directly to Canvas, Blackboard, Banner, and PeopleSoft. Automate course shell creation, enrollment syncing, and reporting — eliminating manual administrative overhead.
Audit existing LMS, SIS, and content repositories. Map ID team workflows, identify compliance gaps, and configure secure integrations with Canvas, Blackboard, Banner, or PeopleSoft.
Deploy and configure purpose-built AI agents for course design, accessibility auditing, and faculty support. Run a pilot with 2–3 departments to validate workflows and gather feedback.
Roll out AI agents institution-wide. Train instructional designers and faculty liaisons. Launch self-service faculty support portal and automated accessibility monitoring across all active courses.
Analyze agent performance data, refine prompts and workflows, and expand AI capabilities to new departments or use cases. Quarterly reviews ensure alignment with accreditation and compliance requirements.
ID team manually builds course outlines, objectives, and module structures from scratch for each faculty request — taking weeks per course.
AI agents generate draft course structures, objectives, and scaffolding in minutes. ID team reviews and refines, cutting design time by 70%.
Accessibility audits are manual, inconsistent, and reactive — often triggered only by complaints or legal notices.
Continuous automated accessibility monitoring flags issues in real time, with AI-suggested remediation and a compliance dashboard for the entire course catalog.
Faculty email or call the ID team for LMS help, instructional questions, and design advice — creating bottlenecks and long response times.
A 24/7 AI faculty support agent answers LMS and instructional design questions instantly, escalating only complex cases to human ID staff.
Assessments are created ad hoc by faculty with little alignment review, creating accreditation documentation gaps.
AI assessment builder validates alignment to learning outcomes and Bloom's Taxonomy before publishing, generating accreditation-ready documentation automatically.
ID staff manually create course shells, sync enrollments, and troubleshoot cross-system issues between Canvas, Banner, and PeopleSoft.
Automated LMS-SIS integration handles course shell creation, enrollment syncing, and reporting — freeing ID staff for high-value design work.
Core tool for AI-assisted course design, content adaptation across modalities, assessment building, and accessibility compliance — directly addressing the highest-volume ID team workflows at research universities.
AI-native LMS layer that integrates with Canvas, Blackboard, Banner, and PeopleSoft. Automates course shell creation, enrollment syncing, and LMS administration — freeing ID staff from manual system management.
Platform for deploying department-specific AI agents across colleges and units within a research university. Enables the central ID team to build, manage, and scale purpose-built agents for faculty support, compliance monitoring, and curriculum review.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.