🎯 Objective:

• Provide AI-generated solutions for accessibility issues flagged in scans and audits, categorised by code, design, and content. Integrate content and links to knowledge base articles.

❤️ Key Benefits:

• Streamlines the resolution process with immediate solutions.
• Educates users about WCAG criteria and best practices.
• Increases the speed and accuracy of issue resolution.

📈 Success Metrics:

• Number of successfully resolved issues through the solution guide.
• User satisfaction with AI-generated solutions.

📘 User Story:

• As a developer, I want clear, actionable solutions to the accessibility issues identified in audits, with links to relevant WCAG criteria and best practices, so I can resolve them efficiently.

✅ Use Cases:

1. User receives AI-generated solutions to flagged issues, categorised by code, design, and content, with links to knowledge base articles.
2. User searches for WCAG criteria within the knowledge base and applies best practices.

⚙️ Functionality:

• Provides AI-generated solutions for flagged issues for code changes, transcripts and descriptions, text changes, and visual design changes.
• Links each flagged issue to the WCAG knowledge base for additional context and guidance.
• Re-test after attempting to fix issue and check whether the fix is now compliant