How it works
From audit to fix to proof, in one workflow.
Most tools stop at finding problems. Access Proof AI takes you all the way to a compliant site and a filing-ready record, with your team in control at every step.
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Step 1 · Discover
We map your whole site, not just one page.
AODA covers your entire public-facing website. Access Proof AI starts by discovering your pages through your sitemap and by following links, so nothing gets missed. You choose the scope and the page limit.
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Step 2 · Scan and render
We test the page a real user actually sees.
Many accessibility issues only appear once a page fully loads, including content added by scripts, menus, and forms. Access Proof AI renders each page in a real browser and captures a screenshot as visual evidence, then runs an industry-standard accessibility engine against the live page.
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Step 3 · Diagnose against WCAG 2.0 AA
Every issue tied to the exact criterion it breaks.
For each violation we record the specific WCAG 2.0 Level AA success criterion, the element and location, a plain-language explanation of why it matters to a real user, and a severity ranking by user impact. This mapping is the backbone of a defensible AODA record.
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Step 4 · The AI second pass
We check what automated scanners cannot.
Automated engines reliably catch machine-testable issues like missing alt attributes and colour contrast. They cannot judge quality. Our AI layer reviews whether alt text is actually meaningful, whether link and button text makes sense out of context, whether headings and reading order are logical, and whether content can be rewritten in plainer language. This is where real accessibility lives.
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Step 5 · Generate the fix
The corrected code, ready to review.
For each issue, Access Proof AI produces a concrete, corrected code snippet along with a short explanation. Nothing is applied automatically. Your developer reviews, edits if needed, and approves.
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Step 6 · Remediate at scale (optional)
For large sites, let AI agents do the heavy lifting.
If you have hundreds of pages, our AI agents prepare fixes across all of them and present them as reviewable pull requests inside your own repository. A human on your team approves and merges. Your code never leaves your control. See Security & Privacy for exactly how this works.
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Step 7 · Live alerts
Know the moment something regresses.
Websites change constantly. Access Proof AI re-checks on a schedule or on deploy, and alerts your web team the instant a new accessibility issue appears, complete with the failing criterion, a screenshot, and a suggested fix. Delivered to Slack, Teams, or email.
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Step 8 · Your compliance report
The record you file with confidence.
Access Proof AI produces an executive-ready report grouped by WCAG success criterion. It shows what was found, what was fixed, what remains, and the evidence behind each item. It also includes a clear methodology and limitations statement, because honest documentation is part of real compliance.
A note on honesty
We help you get genuinely compliant, not just pass a scan.
No automated tool, ours included, can catch every accessibility issue on its own. Some criteria require human judgment. That is exactly why Access Proof AI combines automated scanning, an AI judgment layer, and your team’s review, and why our reports state clearly what was tested and how.