UX and accessibility audits
We audit public-facing digital products for usability, accessibility, and compliance readiness. That means keyboard paths, screen reader behavior, forms, content clarity, interaction design, WCAG issues, and the places where your product quietly tells people they are not invited.
A UX accessibility audit reviews whether people can understand, navigate, complete tasks, and get help across your product. It combines usability review with accessibility testing so teams see the actual experience, not just a pass-fail checklist.
An a11y audit checks accessibility barriers against WCAG-minded expectations, including semantics, focus order, keyboard access, labels, contrast, forms, errors, dynamic content, and assistive technology behavior.
Because a technically patched interface can still be painful, confusing, or exclusionary. Compliance readiness matters, but the goal is better access to real services, real tasks, and real outcomes.
Compliance in the age of AI
Vibe-coded apps, AI-generated components, chatbots, and agentic workflows still land in front of humans. If they block keyboard users, hide errors from screen readers, create inaccessible forms, or ship unlabeled controls, the risk did not disappear. It just shipped faster.
Yes. AI-generated apps can reproduce inaccessible patterns, skip labels, break focus states, and create flows that automated tests miss. Audit the shipped experience, not the promise of the tool that generated it.
No. Automated checks help find issues quickly, but ADA.gov notes that automated tools cannot test every aspect of accessibility. Manual assessment is still part of responsible accessibility work.
Test critical tasks manually, verify keyboard and screen reader paths, review content and errors, document known risks, prioritize remediation, and make accessibility part of the release process.
What we audit
We look at the places where exclusion actually happens: flows, forms, decisions, components, content, and code that people have to use to get something done.
Tab order, visible focus, trapped focus, skip paths, modals, menus, custom controls, and places where a pointer is silently required.
Semantic structure, accessible names, live regions, status messages, headings, landmarks, tables, and dynamic updates.
Labels, instructions, errors, authentication, checkout, application flows, contact paths, and redundant entry problems.
Contrast, text sizing, responsive behavior, target size, motion preferences, readability, and states that depend on color alone.
Navigation, content clarity, decision points, broken expectations, abandonment risk, and confusing paths through important tasks.
AI-generated UI, embedded widgets, chatbots, overlays, design-system drift, and vendor experiences that still represent your brand.
Who we help
If people depend on your digital product to learn, apply, pay, schedule, request, report, or participate, accessibility is not decorative. It is part of the service.
Audit admissions, financial aid, course catalogs, student services, event pages, PDFs, and vendor tools that shape access to education.
Review service pages, public notices, permits, payments, documents, mobile apps, and high-use paths before residents hit a barrier.
Add accessibility depth to design systems, launches, redesigns, audits, and AI-assisted builds without pretending a plugin can carry the work.
How it works
The work is practical: find the barriers, explain the impact, prioritize what matters, and give your team a remediation path that respects users and constraints.
We identify the paths people rely on most, including high-risk flows for public services, education, conversion, and support.
We combine automated checks with manual review of keyboard access, assistive technology behavior, content, interaction design, and UX friction.
We separate urgent blockers from quality improvements so teams can address access, compliance risk, and usability without boiling the ocean.
You get clear findings, rationale, severity, suggested fixes, and source-backed context your team can use to repair and prevent regressions.
Questions people ask
It is a review that helps identify accessibility barriers, assess conformance risk, and build a remediation path. It should not be treated as a legal guarantee or a one-time certificate.
Many legal obligations reference WCAG 2.1 AA, including the ADA Title II web and mobile rule for state and local governments. W3C recommends WCAG 2.2 for future-facing accessibility efforts.
Answer-engine optimization rewards clear, crawlable, source-backed explanations. Google says AI features use the same SEO fundamentals: helpful text, indexable pages, internal links, page experience, and structured data that matches visible content.
Absolutely. Chatbots can fail at focus management, labels, status updates, error handling, keyboard support, timeout behavior, and plain-language task completion.
Compliance note: Inclusion helps teams assess accessibility conformance, identify risk, and build remediation plans. We do not promise guaranteed legal compliance.
Source-backed standards
Accessibility work should cite the standards and guidance it relies on. These are the source anchors for this one-page version.