Canvas-Integrated Accessibility Checker

Metropolitan Community College of Kansas City seeks a comprehensive, Canvas‑integrated digital accessibility platform that can automatically evaluate, prioritize, and remediate accessibility barriers in course content and uploaded documents, while also providing alternative formats for students. The solution must support LTI integration, in‑context remediation, AI‑assisted fixes, reporting at course and institutional levels, and must be fully accessible itself. Vendors must demonstrate the workflow through a series of required demonstrations and disclose licensing, costs, and roadmap details. • Integrates with Canvas via LTI or similar authentication, using institutional credentials. • Evaluates accessibility of Canvas‑native items (pages, assignments, discussions, etc.) and uploaded files (PDF, Word, PowerPoint). • Provides issue identification, prioritization, and remediation guidance within Canvas. • Supports optional AI‑driven automated fixes and document conversion to accessible formats. • Offers faculty‑level and institution‑level reporting, trend monitoring, and export capabilities. • Must include VPAT or similar conformance documentation and demonstrate accessibility of the solution itself.