We’re nearing a point where AI and automation increases audit efficiency. No, this doesn’t mean AI is replacing the auditor. No, this doesn’t mean the audit is no automated — all of the issues are still found manually. The difference now is new tools will make it easier to record and log each issue.
These tools aren’t about replacing your judgment – they’re about eliminating the time-consuming documentation work that slows down every audit. And we’ll be adding this ability to Accessibility Tracker.
Table of Contents
How AI Speeds Up Your Audits
Instant Documentation
When you identify an accessibility issue, the AI immediately handles all the documentation grunt work. It captures screenshots automatically, highlights the problematic element, and extracts the relevant code snippets. This means you can move from finding an issue to having it fully documented in seconds rather than minutes.
The system also captures contextual information about the element and its surrounding code, giving developers everything they need to understand and fix the problem. No more manually copying HTML, taking multiple screenshots, or writing detailed descriptions of where issues occur.
Success Criterion Mapping
AI now automatically assigns the appropriate WCAG success criterion for each issue, identifying which criterion applies and filling it in.
The system also presents multiple approaches for addressing each issue, letting you focus on evaluating which approach makes the most sense for the specific context rather than researching possible fixes from scratch.
Streamlined Workflow
All findings get organized into a consistent, professional format that’s ready for review and handoff to development teams. The AI creates structured issue reports that include:
- Visual documentation with highlighted problem areas
- Extracted code context
- Mapped accessibility standards
- Multiple remediation approaches
- Automatically generated technical details
What This Means for Your Team
Focus on What Matters
Instead of spending time on screenshots, code copying, and formatting, you can dedicate your expertise to the critical thinking parts of auditing. You’ll spend more time evaluating severity, considering user impact, and making judgment calls about the best approaches to accessibility problems.
Better Team Coordination
The built-in assignment and collaboration features make it easy to distribute work across your team and track progress. Team members can comment on issues, discuss approaches, and maintain clear communication throughout the audit process without switching between multiple tools.
Consistent Quality
Every issue gets documented with the same level of detail and professionalism, regardless of which team member found it. This consistency makes audits easier to review internally and creates more actionable reports for clients.
Still 100% Manual Where It Counts
The AI handles the mechanical parts of auditing, but all the important decisions remain in your hands. You’re still identifying issues, assessing their impact, determining severity levels, and recommending the best approaches for each situation. The technology simply eliminates the administrative overhead that currently eats up so much audit time.
Coming to Tracker in 2026
These AI features will integrate directly into your existing Tracker workflow. You’ll use the same processes and maintain the same quality standards – you’ll just complete them much more efficiently.
Your expertise drives every audit decision. AI just handles the paperwork.
