ibl.ai helps K-12 instructional design teams build better courses, close achievement gaps, and support teachers at scale — without adding headcount. Purpose-built AI agents work inside your existing systems.
K-12 instructional design teams are stretched thin. With teacher shortages, growing IEP caseloads, and rising expectations for differentiated instruction, small ID teams can't keep pace.
Districts struggle to produce accessible, standards-aligned content fast enough to support every classroom. Faculty support requests pile up while course quality and compliance suffer.
AI changes the equation. ibl.ai gives instructional designers purpose-built agents that automate repetitive tasks, flag accessibility gaps, and help teachers deliver better lessons — all within your existing infrastructure.
Instructional designers are asked to do more with less as teacher vacancies rise. Districts report ID staff supporting 3–5x more teachers than recommended, leaving little time for quality course development.
44 states report teacher shortages (U.S. DOE, 2024)Creating differentiated learning materials for diverse student populations is time-intensive. Most ID teams lack the bandwidth to produce multiple versions of every lesson or unit.
Only 17% of students in high-poverty districts are proficient in reading (NAEP, 2023)WCAG and Section 508 compliance reviews are largely manual. A single course audit can take days, and non-compliance exposes districts to legal and reputational risk.
Over 4,000 ADA complaints filed against schools annually (OCR, 2023)Instructional designers supporting special education must align content to IEP goals, track accommodations, and document compliance — all tasks that consume hours per student per week.
Special ed teachers spend 30–40% of time on paperwork (NCSE, 2022)Despite significant LMS investments, teacher adoption in K-12 districts averages below 50%. Without ongoing ID support, platforms go underutilized and learning outcomes suffer.
Less than 50% of K-12 teachers actively use district LMS tools (EdWeek, 2023)Generate standards-aligned lesson plans, unit outlines, and course structures in minutes. Agentic Content maps materials to state and Common Core standards automatically, saving ID teams hours per course.
AI agents continuously scan LMS content for WCAG 2.1 and Section 508 compliance issues, flagging problems and suggesting fixes before content reaches students.
Automatically generate multiple reading levels, language translations, and modality variations of any lesson — ensuring every learner, including ELL and special education students, gets appropriate materials.
Build formative and summative assessments aligned to learning objectives. AI agents suggest question types, Bloom's taxonomy levels, and rubric criteria based on course goals.
Deploy always-on AI mentoring agents that answer teacher questions about LMS use, instructional strategies, and curriculum resources — reducing ID team support tickets by up to 60%.
Agentic Video enables ID teams to produce professional instructional videos at scale — with auto-captioning, transcripts, and accessibility metadata built in from the start.
Audit existing LMS setup, content libraries, and ID workflows. Connect ibl.ai agents to your district's LMS (Canvas, Schoology, Blackboard, etc.) and student information systems with zero disruption.
Configure purpose-built AI agents for course design, accessibility review, and teacher support. Onboard existing curriculum content into Agentic Content for AI-assisted adaptation and tagging.
Run a pilot with 2–3 grade levels or subject areas. Collect feedback from ID staff, teachers, and administrators. Refine agent behavior, content templates, and support workflows based on real usage.
Scale AI agents across all schools and grade levels. Train ID staff and instructional coaches on agent management, content workflows, and ongoing compliance monitoring.
ID staff manually build lesson plans and unit outlines from scratch, cross-referencing state standards in separate documents.
AI agents generate standards-aligned drafts in minutes, with automatic tagging to Common Core and state frameworks.
Accessibility audits are done manually by one staff member, often catching issues only after content is published.
AI agents continuously scan all content pre-publication, flagging WCAG and Section 508 issues with suggested fixes.
Teachers request differentiated materials; ID team produces them manually over days or weeks, often falling behind demand.
Agentic Content auto-generates multiple reading levels and ELL adaptations for any lesson on demand.
Teachers email or call the ID team for LMS help, creating a backlog that delays course launches.
An always-on AI teacher support agent answers LMS and instructional questions instantly inside the platform.
Assessments are built manually with inconsistent alignment to learning objectives and Bloom's taxonomy levels.
AI assessment agents generate aligned questions, suggest rubric criteria, and flag gaps in coverage automatically.
Core tool for K-12 instructional designers — automates course design, standards alignment, differentiated content creation, and accessibility compliance review across all grade levels and subjects.
AI-native LMS that integrates with existing district platforms, deploys teacher support agents, and gives ID teams real-time visibility into course quality, teacher adoption, and student engagement.
Enables K-12 ID teams to produce accessible instructional videos at scale with auto-captioning, transcripts, and compliance metadata — without requiring video production expertise.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.