ibl.ai unifies instructional design workflows across your entire state university system — from course development to accessibility compliance — with AI agents your institution owns and controls.
State university systems face a persistent challenge: instructional design teams on different campuses operate in silos, producing inconsistent course quality and duplicating effort across the system.
Faculty support is reactive and unscalable. Designers spend hours on manual LMS tasks, accessibility audits, and content updates instead of strategic course improvement.
With no shared AI infrastructure, each campus reinvents the wheel. ibl.ai provides a unified, compliant AI operating system that standardizes excellence without sacrificing campus autonomy.
Course templates, accessibility records, and assessment data live in disconnected systems across campuses, making system-wide quality assurance nearly impossible.
73% of multi-campus systems report inconsistent course quality across institutionsInstructional designers spend up to 40% of their time on repetitive LMS tasks — course shells, enrollment configurations, and content migrations — instead of design work.
Up to 40% of ID time lost to manual LMS tasksMeeting ADA and WCAG standards across hundreds of courses is labor-intensive. Manual audits miss issues and create legal exposure for the entire system.
Only 30% of higher ed courses fully meet WCAG 2.1 AA standardsFaculty at smaller campuses receive far less instructional design support than those at flagship institutions, creating unequal course quality across the system.
Smaller campuses average 1 ID per 200+ faculty vs. 1 per 50 at flagshipsBuilding and updating course content manually slows time-to-launch and leaves outdated materials in active courses longer than acceptable.
Average new course development takes 6–9 months without AI assistanceAgentic Content generates course outlines, learning objectives, module content, and assessments aligned to institutional standards — reducing design time by up to 60%.
AI agents continuously scan LMS content for ADA and WCAG compliance issues, flag violations, and suggest remediation — keeping every campus audit-ready.
Agentic LMS enforces consistent course templates, navigation structures, and quality rubrics across all campuses while integrating with Canvas, Blackboard, and more.
Purpose-built MentorAI agents provide 24/7 faculty guidance on course design best practices, LMS usage, and instructional strategies — scaling your ID team's reach.
AI agents generate aligned assessments, rubrics, and question banks mapped to learning outcomes — ensuring consistency and rigor across departments and campuses.
Agentic Video enables instructional designers to produce, caption, and analyze instructional videos at scale — with auto-transcription and accessibility built in.
Map existing LMS environments, content repositories, accessibility gaps, and ID workflows across all campuses to establish a system-wide baseline.
Deploy and configure Agentic LMS, Agentic Content, and MentorAI agents on your infrastructure, integrated with existing SIS and LMS platforms.
Run a pilot across 2–3 campuses, validate AI-generated content quality, refine accessibility workflows, and establish system-wide course design standards.
Scale AI agents to all campuses, train instructional design staff, and establish continuous improvement loops using analytics and outcome data.
Designers manually build course shells, write objectives, and source content — taking weeks per course with no shared templates.
AI agents generate aligned course structures, objectives, and draft content in hours, using system-approved templates and standards.
Periodic manual audits catch issues late, creating remediation backlogs and legal risk across the system.
Continuous AI-powered accessibility scanning flags and remediates issues in real time, keeping all campuses compliant.
Faculty wait days for ID support; smaller campuses are chronically under-resourced with no consistent guidance available.
MentorAI agents provide instant, 24/7 faculty support on design, LMS use, and pedagogy — equally available on every campus.
Each campus configures LMS differently, creating a fragmented student experience and making system-wide reporting impossible.
Agentic LMS enforces shared standards and templates while preserving campus flexibility, enabling system-wide quality reporting.
Faculty create assessments independently with no alignment checks, leading to inconsistent rigor and unmapped learning outcomes.
AI agents generate and validate assessments against defined learning outcomes, ensuring rigor and alignment across all courses.
Automates course design, content generation, and accessibility remediation — directly addressing the core workflow of instructional design teams across multiple campuses.
Provides a unified, AI-native LMS layer that standardizes course structures and quality across all campuses while integrating with existing Canvas and Blackboard environments.
Deploys purpose-built AI faculty support agents that scale instructional design guidance to every campus, reducing response times and equalizing support quality system-wide.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.