Continuous AI for accessibility: How GitHub transforms feedback into inclusion

What this post added

This post details the implementation of an internal workflow using GitHub Actions, GitHub Copilot, and GitHub Models to automate the processing of accessibility feedback. It describes how AI is used for triage analysis (classifying issues by WCAG violation, severity, and affected user group) and accessibility coaching, leveraging custom instructions and stored prompts. The workflow is event-driven, with GitHub Actions orchestrating steps like issue creation, Copilot analysis, and metadata population. The post also outlines the design considerations for different user personas (issue submitters, accessibility teams, program managers) and the detailed steps of the feedback flow, including intake, Copilot analysis, and submitter review.