AI‑Driven Accessibility Feedback System

GitHub leverages an event‑driven pipeline that captures user‑reported accessibility barriers, enriches them with AI analysis, and routes them to a centralized project board. The workflow automates repetitive triage steps while preserving human oversight, ensuring every report receives a timely response and a clear path to remediation.

Problem Context and Motivation

Organizations receive accessibility reports from diverse channels-issue trackers, support tickets, and public discussions. These reports often touch multiple product areas, making ownership ambiguous and causing delays. Centralizing the intake process and providing consistent metadata helps teams prioritize work according to impact and compliance requirements.

System Architecture Overview

The architecture follows a modular, event‑driven pattern. An issue creation event triggers a GitHub Action that calls the GitHub Models API. Subsequent actions update a project board, notify stakeholders, and log metrics. Each step is idempotent, allowing manual re‑runs without side effects.

Issue Intake and Template Design

Custom issue templates enforce a structured format, capturing source, affected component, and user context. The template is a markdown file stored in the repository, enabling version control and peer review. When a reporter fills the template, the resulting issue contains all required fields for downstream automation.

AI Triage with GitHub Models

Upon issue creation, a GitHub Copilot action invokes a stored prompt that classifies the report against the Web Content Accessibility Guidelines, assigns severity, and suggests remediation steps. The prompt is maintained as a plain‑text file, allowing updates via pull request without retraining a model.

Project Board Integration and Metrics

A second action adds the enriched issue to a dedicated project board, grouping items by WCAG principle and user segment. The board provides real‑time visibility of backlog health, trend analysis, and automated alerts for high‑priority items. Metrics such as time‑to‑first‑response and closure rate are recorded in repository analytics.

Continuous Improvement and Future Enhancements

The workflow is designed for extensibility. New source channels-social media webhooks or email parsers-can emit the same event schema, instantly benefiting from existing actions. Planned enhancements include automated pull request generation for fix suggestions and integration with external accessibility testing suites.

Related Guidance

For deeper insight into structuring design‑system annotations that support this workflow, see the accessibility annotations guide.