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Case study

Independent audit of a high-traffic transactional website

Real data from our reference project, as of 2026-07-13. The client's name is intentionally omitted from this document — a concrete example is available on request, subject to a confidentiality agreement.

Scale of the audit

46 Documented defects on the main journey — 11 critical, 16 serious, 14 moderate, 5 minor — each with severity, WCAG and RGAA criterion, detection method, verification status, annotated screenshot, and concrete technical recommendation.
24 Additional defects found in a separate cascading audit of 174 pages (footer-linked sections), run via a parallel automated crawl.
162 Regulatory criteria (56 WCAG + 106 RGAA) evaluated independently, each with a verdict and test protocol.

Coverage achieved by our automated approach

On this project, 121 of the 162 regulatory criteria (75%) were covered by our automated approach — the rest (41 criteria, 25%) required human judgment we don't yet integrate into our approach.

Coverage by our automated approach, per framework
MetricRGAAWCAG
Criteria covered by our automated approach82 / 106 (77%)39 / 56 (70%)
Resolved (with or without quick manual confirmation)100%100%
Human judgment required, not yet covered24 / 106 (23%)17 / 56 (30%)

The 2 remaining RGAA criteria require human judgment our approach doesn't yet integrate. The RGAA framework is due to evolve into a version 5, currently being drafted.

The criteria unlocked by our real-evidence protocols — NVDA bridge (real captured speech), forced-colors mode, focus-visibility diffing, a real 30-minute session-timeout wait, vision-assisted icon triage, automatic audio/video transcription, multimodal model judgment, cross-screen coherence — are all automated (some with a quick manual confirmation), never a classic manual audit.

Systemic defects identified

The analysis surfaced patterns rooted in the site's design system (components shared across every page of the interface framework) — a single component-level fix resolves several findings at once:

  • Design-system icon buttons without an accessible name
  • Progress bars without a label
  • Accordion panels without an accessible name
  • Multiple H1 tags per page on single-page applications
  • aria-modal="true" misapplied to plain buttons

This analysis changes the remediation-effort estimate presented to the client: one component fix can resolve dozens of defects at once, rather than being addressed page by page.

What this case study demonstrates

We don't leave you with a manual checklist

Every criterion that can't be automated gets a concrete test protocol, not just a "check manually" tag.

We test what a real user experiences

A real screen reader's actual voice output, a real elapsed session-timeout wait — not heuristics that approximate behavior.

We separate rigor from speed

Vision-model-assisted triage speeds up detection but is not presented as a final verdict.

We document systemic defects

Not just page-by-page symptoms — one component fix can resolve dozens of defects at once.

A site of this scale to have audited?

This reference project is a very large-scale site, not a simple brochure site — let's talk about your scope.