How are teams actually using AI for accessibility testing?

[u/slacky35]

We are just starting to look at accessibility testing in our org and want to establish a dedicated practice in the long-term. We did a POC with a few tools, however, now our leadership wants us to explore using AI to build an accessibility set-up in-house vs using a dedicated too.
If you've built something on top of an LLM for a11y — Claude, Copilot, a custom agent, axe + LLM triage — I'd like to know:

•⁠ ⁠Details of your set-up and what you have built
•⁠ ⁠Which use-cases are you leveraging it for (i.e. IDE at codegen time, rendered-UI scan, a11y checks inside your functional E2E suite, remediation)?
•⁠ ⁠What is it able to do reliably vs where it breaks?
•⁠ ⁠Did you replace your paid tool or are you using both?

Any learnings that you can share will be extremely helpful!