Instructional Designer
Compliance

VPAT compliance checks that do not wait for an audit

LearnWise AI scans course content for VPAT and WCAG accessibility issues, maps every finding to the relevant criterion, and suggests a remediation for your review.

Why
it
matters

01
Find accessibility gaps before they become compliance failures
Manually reviewing course content for WCAG conformance means opening every asset, checking every image, testing every video, and cross-referencing a 78-criterion standard one item at a time. AI Ops Assistant runs that check across an entire course in a single request, maps every finding to the specific WCAG criterion it fails, and suggests a remediation for each one. You review and decide what to apply.
Time saving
02
Every student can access course content on equal terms
Accessibility failures are not abstract compliance issues. A student who uses a screen reader cannot access an image without alt text. A student who is deaf or hard of hearing cannot follow a video without captions. Catching and remediating these issues before a course goes live means students encounter content that works for them from the first day, without needing to request accommodations for basic access.
Supporting equity and inclusion
03
Always audit-ready, not scrambling when a review arrives
Accessibility audits and OCR complaints arrive without much warning. Institutions that run compliance checks only when required spend significant time and resources on reactive remediation. Running VPAT checks continuously across the course catalog means issues are resolved as content is built, not after a complaint is filed. The institution maintains a defensible record of proactive accessibility review at all times.
Risk reduction

How to run an accessibility audit with AI

01
Open AI Ops Assistant inside your LMS
Available directly inside your LMS, available as a floating button. No separate tool, no file export required before running.
02
Request an accessibility check in plain language
Specify the course, the standard you are checking against such as VPAT 2.1 AA/WCAG 2.1 AA, and whether you want a full course scan or a specific module. The agent reads the content directly from your LMS.
03
Review the findings report mapped to WCAG criteria
Each issue is listed with the specific VPAT/WCAG criterion it fails, the location within the course, the severity, and a suggested remediation. Failures appear before warnings. Pass items are included so you have a complete compliance picture.
04
Confirm before any fix is applied
The agent can apply suggested remediations, but only with your explicit approval on each change. It shows you what will be modified before executing. Every action is logged. Nothing changes without your sign-off.

How it works

AI Ops Assistant reads course content directly from your LMS, including videos, PDFs, images, HTML pages, and navigation structure. It evaluates each element against WCAG 2.1 AA criteria and returns a structured findings report organized by severity. Every finding includes the specific criterion it maps to, the exact location in the course, and a suggested remediation.

When you ask the agent to apply a fix, it shows you the proposed change in full before executing. You confirm, and the change is applied. If a remediation requires action outside the LMS, such as recaptioning a video or updating a PDF, the agent flags it with a recommended next step so nothing falls through the gap. Every interaction is logged and your institution retains a full record of checks run and changes made.

Key features

  • Video captions and audio descriptions (WCAG 1.2)
  • Image alt text and non-text content (WCAG 1.1.1)
  • Document structure, titles, and reading order
  • Color contrast ratios (WCAG 1.4.3)
  • Link text and navigation landmarks (WCAG 2.4)
  • Form labels and error identification (WCAG 1.3.1 / 3.3)
  • Keyboard accessibility and focus order (WCAG 2.1)

What to ask

These are real prompts you can use with LearnWise AI Assistants. Copy them directly, or adjust to match your context and standards.
Full course WCAG 2.1 AA check
prompt

"Run a VPAT accessibility check on BIOL 210. Flag any content that does not meet WCAG 2.1 AA and map each issue to the relevant criterion."

Returns a full findings report covering every content type in the course. Issues are categorized as fail, warning, or pass, each with the specific WCAG criterion, location, and a suggested remediation.
Catalog-wide accessibility scan
prompt

"Scan all active courses in the School of Health Sciences for missing video captions and images without alt text. Prioritize by course start date."

Runs across every active course in a single request. Returns a prioritized list of the highest-risk accessibility gaps so your team can triage remediation before the term opens.
Pre-launch accessibility sign-off
prompt

"NURS 402 goes live next Monday. Run a full WCAG 2.1 AA check and tell me if anything accessibility-related would block a user from completing the course."

Scopes the check to the issues most likely to create a barrier to completion. Returns a pass or remediation-required verdict per content type, with enough detail to act on before launch day.
Targeted fix with confirmation
prompt

"Apply alt text to the 3 images in Module 4 of BIOL 210 that are flagged as missing. Show me the proposed alt text for each before applying."

The agent drafts alt text for each image based on the surrounding content context and shows you the full proposed text before writing anything. You confirm each one individually. Nothing is applied without your approval.

Human approval on every write action. Every interaction logged.

AI Ops Assistant surfaces findings and proposes actions. It does not change anything in your LMS without your explicit confirmation. When you ask it to apply a fix, it shows you a full preview of what will change. You confirm. It acts. Every action is recorded in a full audit log your institution can access at any time. It matches the LMS permission sets.

Ready to get started?

Book a 30-minute walkthrough. We will run a real audit on a demo course and show you exactly what your team would see.