TestParty at AccessU: Automating Digital Accessibility & How AI Can Streamline WCAG Compliance

In case you're missing Access U, here is a summary of the presentation we have coming up.
By Michael Bervell
John Slatin AccessU 2025

Digital accessibility is often described as a “forever project”—a continuous, detail-heavy process of audits, remediation, training, and verification. For many organizations, keeping up with WCAG compliance can feel overwhelming, especially as websites and apps evolve daily.

But today, artificial intelligence is reshaping what’s possible.

At John Slatin AccessU 2025, our session “Automating Digital Accessibility: How AI Can Streamline WCAG Compliance” explores how AI can reduce barriers, accelerate workflows, and support teams in delivering inclusive digital experiences—while still centering human judgment where it matters most.

Why AI Matters Now

In recent years, accessibility teams have faced rising pressure:

• More regulations like the European Accessibility Act
• More complex digital ecosystems spanning mobile, web, and PDF content
• More content updates than manual teams can realistically keep up with

Meanwhile, the demand for accessible experiences has surged. Over 1 billion people worldwide rely on assistive technologies—and every inaccessible interaction represents friction, exclusion, or lost business.

AI is not a replacement for accessibility professionals.
But it is an opportunity to remove repetitive work, reduce costs, and scale accessibility faster than ever before.

What AI Can Automate Today

AI-powered accessibility tools are increasingly capable of handling a significant portion of common WCAG issues. In our session, we break down which tasks are reliably automatable today, including:

✔️ Detecting Missing or Poor Alt Text

AI can flag missing alt attributes and generate draft alt text, helping teams move faster while still reviewing for accuracy.

✔️ Color Contrast Audits and Fixes

Automation can detect contrast errors across large sites and propose compliant alternatives instantly.

✔️ Semantic Structure and ARIA Suggestions

AI can help identify improper heading levels, missing labels, or mis-nested elements.

✔️ Keyboard Navigation Gaps

Machine models can detect focus-trapping components or inaccessible interactive elements.

✔️ Real-Time Developer Guidance

Modern tools can explain WCAG errors inside IDEs, teaching developers as they code—reducing downstream fixes dramatically.

Across these categories, AI can reliably address 30–40% of accessibility gaps with little to no human intervention.

Where Humans Are Still Essential

Not all accessibility challenges are logical or mechanical. Many rely heavily on context, interpretation, or user experience.

❗ Complex navigation patterns

AI can’t yet judge whether multi-layer menus or interactive flows are intuitive for assistive technology users.

❗ Cognitive load and readability

Determining clarity, intent, or user comprehension remains a fundamentally human task.

❗ Meaningful alternative text

AI can generate descriptions, but only humans can determine what matters most in a given image.

❗ Dynamic, component-heavy apps

Frameworks like React and Vue introduce UX considerations that require expert review.

In these areas, the human role is irreplaceable.

The Future is Hybrid: AI + Human Expertise

The most scalable accessibility programs don’t rely exclusively on automation—or on manual audits. They combine the strengths of both.

A hybrid strategy allows organizations to:

• Reduce repetitive manual work
• Catch violations earlier in development
• Maintain compliance continuously
• Allocate human expertise to the issues that truly need it

During our AccessU 2025 session, we’ll share case studies showing how hybrid approaches have cut remediation time by 50–70%, while improving both accuracy and developer adoption.

What Attendees Will Learn

Participants will walk away with practical, immediately applicable skills:

1. Understanding AI’s Role in Accessibility

How machine learning and code-analysis tools identify and fix common WCAG violations.

2. Recognizing the Limits of Automation

Where AI falls short—and how to safeguard against inaccurate or incomplete fixes.

3. Building a Hybrid Accessibility Program

Best practices for combining automation with human review to maximize both speed and quality.

4. Implementing AI Safely and Responsibly

How to maintain trust, transparency, and accuracy while integrating AI into accessibility workflows.

Why This Session Matters

Digital accessibility shouldn’t be a luxury—it should be the default.

As the field evolves, AI provides an unprecedented opportunity to move accessibility out of the backlog and into the daily workflows of designers, developers, and product teams.

At AccessU 2025, we’re excited to explore what’s possible today, what still requires human care, and how organizations can build scalable, sustainable, and people-centered accessibility programs