Explore FastPass accessibility reports (clickable):

FastPass_Cover_Accessibility Report
FastPass_Page_Accessibility Report
FastPass_TestFinish_Accessibility Report
FastPass_TestQuestion_Accessibility Report

Going through this process highlighted something we didn’t expect.

Teams investing in accessibility are years ahead on AI readiness.

Not because they planned for AI, but because accessible content and AI-parseable content require the exact same structural decisions.

Here are a few examples that make this painfully obvious:

• Alt text on images: A screen reader needs alt text to understand a screenshot. A RAG pipeline needs it to index that image. No alt text? The content is completely invisible to both.
• Proper heading hierarchy: Screen readers navigate docs by jumping between H1s, H2s, and H3s. AI chunking algorithms use those exact same headings to split text into coherent data for retrieval.
• Video transcripts: A deaf user needs captions to access a training video. An AI agent needs that transcript to surface answers from it. No captions? That video is a dead asset for AI.

The pattern is always the same: make the meaning explicit in the markup, don’t just rely on how it looks.

Across WCAG 2.1 AA – particularly criteria around content structure, text alternatives, and semantic markup – the overlap with what AI agents need to parse, retrieve, and act on your content is striking.

Companies building for inclusion today aren’t just doing the right thing. They are building the exact infrastructure copilots and agentic workflows need to function.

If you’re treating accessibility as a compliance checkbox and AI readiness as a separate project, you’re doing the same work twice.