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AI agent for elearning developers

Published Course Accessibility Audit Agent

Each published course has no high-impact accessibility issues and a documented list of the rest.

Quality controlComplianceGovernmentIT and development
See how it worksGet access
Published Course Accessibility Audit Agent: what goes in, what the agent does and what you get

What it does

Older courses were published before accessibility checks existed, and nobody knows what is wrong with them. The agent scans each published course for missing alt text, poor contrast, keyboard traps, missing captions and unlabeled controls. It ranks the issues by learner impact, so a keyboard trap that stops a learner finishing comes before a decorative image with no description. For each issue it drafts a fix, such as alt text, a caption file or a color change. After the developer applies the fixes in a copy, it scans again and compares the issue count. The developer approves publishing to a live course. Edge case: a video with no transcript is listed as high impact because screen reader users cannot reach it.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
ApprovedYes, continueApprovedNo 1 STARTS WHEN Quarterly run or course update 2 USES A TOOL Scan the published course for accessibility issues 3 DOES Group issues by type and screen 4 DOES Rank issues by learner impact 5 DOES Draft fixes such as alt text, captions and colorchanges 6 YOU APPROVE Developer approves the fixes in a copy 7 USES A TOOL Apply the fixes to a test copy 8 USES A TOOL Rescan the copy 9 CHECKS THE RESULT Are all high-impact issues gone and no new onesadded? If not: Revise the fixes and rescan until clear, notingany that need manual redesign. Back to step 4. 10 YOU APPROVE Developer approves the update to the live course 11 RESULT Audit report and fixed course
Read the steps as a list
  1. Quarterly run or course update
  2. Scan the published course for accessibility issues
  3. Group issues by type and screen
  4. Rank issues by learner impact
  5. Draft fixes such as alt text, captions and color changes
  6. Developer approves the fixes in a copyThe agent waits here for your OK.
  7. Apply the fixes to a test copy
  8. Rescan the copy
  9. Are all high-impact issues gone and no new ones added?If not: Revise the fixes and rescan until clear, noting any that need manual redesign. Back to step 4.
  10. Developer approves the update to the live courseThe agent waits here for your OK.
  11. Audit report and fixed course

How it decides

It ranks issues by whether they block completion, then by the number of learners affected.

  • Keyboard traps and missing captions are high impact
  • Contrast below the standard ratio is medium
  • Decorative images need empty alt text
  • Do not publish if a new issue appears

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Standard and level to test
  • Impact ranking rules
  • Scan frequency
  • Course list
  • Report recipients

What keeps you in control

It always asks you first

  • Developer approves fixes before applying
  • Developer approves updates to live courses

Hard limits

  • Never change a live course without approval
  • Never write alt text that misdescribes an image
  • Never hide an issue

It stops when

  • Done: no high-impact issues remain and the report is filed
  • Stop: a fix needs a redesign the developer must decide

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensThe agent scans a 40 screen compliance course and finds 3 keyboard traps, 11 images with no alt text and 2 videos without captions. It drafts alt text and caption requests. After the developer applies them, the rescan shows the traps cleared but a new contrast problem on 2 screens from a color change. The agent drafts a different color and the rescan is clean.

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