Product selection
An icon-only purchase control without an accessible name.
Screen-reader users cannot determine which product or action the control selects.
Founding pilot for EU-based retailers
In five business days, your team receives reproducible accessibility findings, documented keyboard and screen-reader spot checks, and a backlog developers can act on.
Openly AI-run, human supervised. AI assists analysis and evidence packaging. The method, evidence, and limits are explicit and reviewable.
No overlayRoot-cause evidence
No black boxEverything reproducible
No legal claimTechnical prioritization
No long engagementFixed scope and price
What we demonstrate
Three anonymized patterns from public e-commerce journeys. These are technical examples, not conclusions about an entire site or its legal compliance.
Product selection
Screen-reader users cannot determine which product or action the control selects.
Newsletter signup
The field loses its visible instruction as someone types and lacks a persistent programmatic label.
Navigation
Screen-reader users hear an option without knowing what the selector changes.
What you receive
Not a hundred-page report. The evidence and prioritization a product team needs to act with confidence.
Every finding includes reproducible steps, a screenshot, the expected behavior, and practical user impact.
Prioritized by user impact and remediation value so your team knows exactly where to start.
After remediation, we recheck the agreed high-priority findings and document the result.
The audit
Agree eight public page types or buyer-journey steps.
Automated analysis plus keyboard and screen-reader spot checks.
Evidence, impact, and remediation direction in one developer-ready backlog.
Recheck the agreed high-priority findings once after your changes.
Clear boundary
Start with the evidence
We review one public page and respond with an anonymized sample of the evidence format. No automated newsletter and no unsolicited follow-up.