Real AI in Digital Accessibility

As a rapidly emerging digital accessibility company, Accessible.org is all-in on real AI and ethically harnessing artificial intelligence to gain efficiency, saving our clients and customers time and money.

Accessible.org utilizes real artificial intelligence to make digital accessibility more efficient — not automated, but significantly streamlined. We started with Accessibility Tracker, our project management platform that integrates AI directly into the remediation workflow. Our approach focuses on what AI actually does well: providing instant, contextual assistance to help teams fix accessibility issues faster.

We’re continually evaluating new AI models and technologies, from the latest LLMs to agentic AI capabilities, always with the goal of making accessibility projects more efficient while maintaining the human expertise that’s essential for accurate audits and proper remediation. Most importantly, we’re committed to ethical representation of AI’s actual capabilities—never overstating what the technology can do.

Our AI Philosophy: Real Efficiency

AI can’t automate accessibility audits or remediation. Anyone claiming otherwise is deceiving consumers on what AI technology can do.

Organizations facing legal compliance deadlines or trying to serve users with disabilities deserve honest information about what AI can and can’t deliver. The stakes are too high for misleading claims about automation.

Here’s what real AI can do well in digital accessibility:

• Translate technical WCAG requirements into plain English
• Provide code for specific accessibility fixes
• Correct code for accessibility
• Answer developer questions instantly without scheduling meetings
• Help teams understand accessibility better
• Reduce reliance on expensive technical support hours

What AI can’t do (and we never claim it can):

• Conduct comprehensive accessibility audits
• Automatically fix accessibility issues
• Replace human judgment in evaluating user experience
• Understand context the way accessibility experts do

The Ethics of Real AI in Accessibility

It’s critical that we’re ethical about representing AI’s actual capabilities. Too many vendors make unfounded and unrealistic AI claims about automating accessibility. This isn’t just misleading—it’s harmful.

When a company believes an AI overlay will make their website accessible, they stop there. They don’t get a real audit. They don’t fix real issues. And users with disabilities still can’t access their digital assets.

That’s why we only talk about real AI—what the technology can actually do today, not hypothetical future capabilities. Our clients need to make informed decisions based on reality, not false marketing messaging.

Starting with Accessibility Tracker

We built Accessibility Tracker as our first major product with integrated real AI because we saw a clear opportunity to bring AI closer to the remediation workflow.

The platform includes 5 AI tools that are pre-prompted with audit data:

• Simplify and Explain – Converts technical accessibility issues into clear, understandable terms
• Detailed Technical Answer – Provides code fixes with model examples
• Alternative Approaches – Presents different methods to meet WCAG success criteria
• WCAG Standards – Explains requirements in simple terms
• Custom Analysis – Handles questions that don’t fit the other categories

These tools aren’t just ChatGPT embedded in a dashboard. Each one is pre-loaded with your specific audit data, so developers don’t need to copy and paste issue details or craft complex prompts. The AI already knows the context.

This is real AI assistance. Not automation, but genuine efficiency gains that save significant time and money.

That, to us, is newsworthy and celebration worthy.

Continually Evaluating New Technologies

We’re always looking at what’s next in AI to make accessibility more efficient. Right now, we’re exploring several areas:

Latest AI Models

We monitor releases from OpenAI, Anthropic, Google, and others. When Claude Sonnet 4 came out, we evaluated it despite the higher cost.

When a new model offers better code generation or more accurate technical explanations, we test it against our use cases. But we only implement changes when they provide real value, not just because something is new.

Agentic AI

We’re watching developments in agentic AI closely. The ability for AI to take sequential actions and make decisions could eventually help with multi-step accessibility workflows.

But we’re careful here—agentic AI still needs human oversight, especially for accessibility where context and user experience matter tremendously. We won’t claim capabilities that don’t exist yet.

LangChain and Vector Databases

Our developer Khushwant is exploring LangChain to minimize AI costs while maximizing effectiveness. By storing accessibility knowledge in vector databases, we can provide more contextual assistance without sending massive prompts to expensive AI models.

This is the kind of behind-the-scenes work that makes real AI practical and cost-effective for our clients.

Integration Possibilities

We’re evaluating how AI could work across entire projects, not just individual issues. Imagine AI that understands all 300+ issues across your three digital assets and can provide project-level insights and recommendations.

But again, we’re focused on what’s real and achievable, not hopes and wishes.

What’s Coming Next

We’re developing new AI capabilities for Accessibility Tracker and future products:

• Project-wide AI analysis that understands patterns across all your accessibility issues
• Intelligent issue grouping to identify related problems that can be fixed together
• Predictive time estimates based on issue complexity and your team’s fix history
• Automated progress narratives for compliance documentation

But here’s what we’re not doing: claiming AI will magically make your website accessible. We’re not building overlays that promise instant conformance. We’re not automating audits with AI.

Every feature we develop is grounded in what real AI can actually deliver today. Here’s a look at the future of AI in digital accessibility.

The Real Value of AI in Accessibility

The value isn’t in automation — it’s in augmentation and efficiency. When a developer encounters an unfamiliar accessibility issue, they don’t need to wait for a meeting with a consultant at $195/hour. They click “Analyze with AI” and get immediate, contextual guidance.

When a project manager needs to understand why an issue matters, they don’t need to research WCAG documentation. The AI explains it in plain English with examples.

When a team needs alternative approaches because the standard fix conflicts with their design, AI provides options.

This is where real AI shines: making human work more efficient, not replacing human expertise.

Building Products with AI at the Core

Accessibility Tracker was just the beginning. We’re building our product suite with AI integration from the start, not as an afterthought.

Each new tool we develop asks the question: how can AI make this more efficient without compromising quality?

Our product development process:

• Identify friction points in accessibility workflows
• Evaluate where AI can reduce that friction
• Build AI assistance directly into the workflow
• Pre-prompt AI with relevant context and data
• Test extensively to ensure accuracy and usefulness
• Monitor usage and gather feedback for improvements

This methodical approach ensures we’re delivering real value, not just adding AI as a buzzword.

Staying Aligned with AI’s Actual Capabilities

We’ve seen too many companies oversell AI in the accessibility space. They promise automation that doesn’t exist. They claim their AI can find all accessibility issues or fix them automatically.

We take a different approach. We’re transparent about what AI can and can’t do. We use AI where it excels—providing information, generating code examples, explaining concepts—and we rely on human expertise where it’s essential.

This alignment with reality is why our clients trust us. They know we’re not selling snake oil. We’re providing real efficiency gains through thoughtful AI integration.

Being ethical about AI’s capabilities isn’t just the right thing to do—it’s essential for actually helping organizations achieve WCAG conformance and serve users with disabilities.

The Bottom Line

Real AI is transforming how we approach accessibility, but not in the way some vendors claim. It’s not about automation. It’s about efficiency. It’s about making expert knowledge more accessible. It’s about helping teams work faster without sacrificing quality.

At Accessible.org, we’re committed to staying at the forefront of AI technology while remaining grounded in what actually works. We’ll continue developing products that harness AI’s strengths while respecting its limitations.

Our goal remains unchanged: make digital accessibility as efficient and effective as possible. AI is a powerful tool in achieving that goal, but it’s just one tool among many.

The real value comes from combining AI efficiency with human expertise, and that’s exactly what we’re building into every product we create.

Want to see our real AI approach in action? Try Accessibility Tracker with a free plan at AccessibilityTracker.com.