The enforcement gap: why finding issues was never the problem

Eightfold, a talent intelligence platform, recently shared something remarkable: they used AI agents to achieve WCAG 2.2 AA compliance in two months. The same work would have taken six to ten months manually. The headline is impressive. But the interesting part isn't how fast they found the issues. It's what happened after they found them: every fix was reviewed by humans, verified against criteria, and tracked through to completion. The AI did the finding. A system did the enforcement. Most teams trying the same approach today will get the first part right and miss the second entirely. Everyone is shipping accessibility agents The landscape changed fast. In the last few months alone: An open-source project called Community Access released 57 accessibility agents for Claude Code, GitHub Copilot, and Claude Desktop. They enforce WCAG 2.2 AA by intercepting every prompt and delegating to specialist reviewers. BrowserStack launched accessibility DevTools that lint code in real time, detec