We would start from the real user need and define what accessible AI features should do, then check that they align with WCAG and your content governance. For example, if AI helps with search, chat, or content summarisation, we design constraints so outputs remain usable and reviewable by humans. Our testing mix combines automated accessibility checks with manual testing by experts. We verify keyboard operability, screen reader compatibility, colour contrast, and predictable output. We also assess multilingual support and ensure AI-generated results can be clearly understood and easily corrected by content editors. We collect evidence during delivery—prototype testing, user feedback, analytics, and stakeholder input—and we tailor the approach to your landscape rather than offering one-size-fits-all metrics. The goal is to prove the AI features help users without introducing new barriers.
Public Q&A
Okay, but how would you test AI features for accessibility on Drupal?
Useful next steps
Use this answer as a practical starting point. Current scope, specifications, compatibility, availability, pricing, timing and next steps should be confirmed directly with Annex where they affect a decision.
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