Desperate to claim accessibility automation, many digital accessibility companies are pushing deceptive messaging around ‘AI-powered’ remediation and automated audits.
If you listen closely enough to their sales pitches, you’ll notice one key piece of the pie that’s missing: how it actually works. And that’s because it doesn’t — not in the way they’re demoing it to you.
Think of it like one of those pitches on Shark Tank where everything looks amazing and then you look up the reviews on Amazon and it’s averaging 3.1 stars.
| Feature | Traditional Remediation | Tracker AI | Efficiency Gain |
|---|---|---|---|
| Time to Fix Issues | Maybe 10 before | Maybe 4 now | 2.5x faster completion |
| Technical Support Hours | 10 hours at $195/hour | 4 hours at $195 | $1,170 saved per project |
| Developer Learning Curve | Months of training needed | Learn while fixing real issues | Immediate productivity |
| Accessibility Knowledge | Requires WCAG expertise | AI translates to plain English | Zero prerequisites needed |
This will not be one of those times because here’s the story:
We’ve integrated AI into our accessibility project management platform, Accessibility Tracker. The entire platform is premised upon your audit report (a real one where the evaluation was fully manual). You upload your audit report and the AI extracts all of the data. The AI then has access to all of your data and can tell your team exactly how to fix each issue.
Simple and it works like a charm.
This is efficiency in spades:
- Less technical support hours from companies (we charge $195/hour)
- Less time spent by your digital team
- Projects move forward faster and finish sooner
- Your team develops accessibility proficiency through the reps
- Your organization reduces legal and compliance risk
Here’s a 300 second video that shows you how Tracker AI works.
And some organizations will aggregate this time and money savings over 10 or projects.
If you’re ready to run to Tracker and get started, the website is AccessibilityTracker.com.
Of course, AI is only one of the features of Tracker. We’ve added so many conveniences to make managing your project and reaching full WCAG conformance much, much easier. But, we know AI is a showstopper so here are more details on what’s going on.
Table of Contents
Why This Is the Latest Advancement in Digital Accessibility
For years, the accessibility industry has been stagnant. Legacy platforms offer automated scans that only flag 25% of WCAG issues. Legitimate project management would often take place over spreadsheets and email threads. Developers struggle through dense WCAG documentation trying to understand how to fix issues. Technical support bills stack up at $195 per hour.
This AI workflow implementation changes everything. By integrating AI directly into the remediation workflow, we’ve created the first genuine advancement in accessibility project management in years. This isn’t another scan tool with inflated claims. This is real, practical AI that delivers tremendous efficiency by eliminating the friction points that have plagued accessibility projects for decades.
The efficiency gains are immediate and measurable:
- Projects that typically take 10 weeks now complete in 4 weeks
- Technical support requirements drop from 20+ hours to 13 hours or less
- Developers who would need months of training can start fixing issues productively on day one
- Validation cycles are cut in half because fixes are more accurate the first time
- Communication overhead is eliminated with everything in one dashboard
This level of efficiency improvement hasn’t been possible until now.
The Reality of AI in Accessibility
Let’s be clear about what AI can and cannot do for digital accessibility. AI cannot automate accessibility audits. If we can’t automate finding accessibility issues, we certainly can’t automate fixing them. But what AI can do is make the remediation process much more intelligent and efficient, and that’s exactly what we’ve built into Accessibility Tracker.
The problem with most AI accessibility claims in the market is they promise automation that doesn’t exist. We’ve seen startups get sued for claiming their AI can automatically fix accessibility issues. That’s not what this is about. This is about bringing AI as close as possible to the remediation workflow to create real efficiency gains.
How AI Works Inside Accessibility Tracker
After you upload your accessibility audit report to Tracker, whether it’s from Accessible.org or another provider, you can view each individual issue with all its details extracted directly from the audit. When you’re looking at a specific issue and need help fixing it, you click “Analyze with AI” and choose from five pre-configured tools.
What makes this different from using ChatGPT or Google Gemini on your own? Three critical differences:
- The AI tools are right inside your project dashboard as you’re working through issues
- They already know the exact audit data you’re working from
- Four of the tools have specific pre-prompts combined with the audit data, while one allows custom analysis
This means no copying and pasting audit details, no prompt engineering, and no switching between platforms. Everything happens inside the dashboard where you’re already working. The AI already has the issue description, the applicable code, the auditor’s recommendation, and all other relevant details.
5 Neat AI Tools
Each tool serves a specific purpose in the remediation process:
Simplify and Explain converts technical accessibility jargon into plain English explanations. Perfect for team members new to accessibility who need to understand what an issue actually means without wading through WCAG documentation.
Detailed Technical Answer provides comprehensive code fixes with model examples. Developers get specific implementation guidance, not generic documentation. The AI shows exactly how to fix the issue with proper syntax and best practices tailored to the specific problem.
Alternative Approaches presents different remediation methods when the recommended fix might conflict with existing design or functionality requirements. Sometimes the standard solution doesn’t work with your codebase, and this tool provides workarounds.
WCAG Standards explains the relevant success criterion in depth. This helps developers understand not just how to fix the issue, but why it matters for users with disabilities.
Custom Analysis allows teams to ask specific questions about the issue that don’t fit the other categories. This flexibility ensures you’re never stuck without guidance.
Real Cost and Time Savings
Based on our experience in working on projects without Tracker, we think Tracker represents a 2.5x time savings — and that’s not even us cutting it Indiana Jones reaching back for his hat close. With this estimation, here’s what can easily happen:
Aproject that would have taken 50 hours emailing Excel spreadsheet back and forth in previous years can be completed in approximately 20 hours with Accessibility Tracker.
Consider the financial impact. We charge $195 per hour for technical support at Accessible.org. If a project required 20 hours of support before and only 8 hours now, that’s 12 hours and $2,340 saved.
But the savings compound across multiple project aspects:
- Developer hours reduced by instant code examples
- Validation cycles shortened because fixes are more accurate
- Meeting time eliminated through centralized communication
- Way too long email nested threads never happen
- Training costs avoided as developers learn while fixing
And as a bonus, think about how easy it is to make a mistake when you’re sending a file back and forth. Did you send the right one?
Even if you’re working from a Google Sheet, you still have to write back and forth inside the Sheet, find the feedback, and communicate updates.
But back to straight project efficiency, ror organizations managing multiple digital assets, these savings multiply. If you’re working on two websites, a mobile app, and a web application, the efficiency gains can easily reach tens of thousands of dollars.
Learning While Fixing
Here’s a benefit you may not immediately think about: developers are learning accessibility while they fix issues. The more issues they fix, the more they start lasering accessibility knowledge and experience into their skillset.
This isn’t theoretical training with model code. It’s experiential learning on your actual codebase with your specific technical stack. The knowledge sticks because developers are fixing real problems in code they work with every day.
By the time a developer has fixed 150 real issues with AI assistance, they’ve essentially completed an intensive accessibility training program. Except they didn’t sit through workshops or watch videos. They learned by doing, with intelligent guidance exactly when needed. This creates permanent organizational capability that extends beyond the current project.
Why This Approach Works
AI falters when the prompt is too broad. It misses important nuances, makes surprising errors, and overlooks important steps. But when you fine-tune the prompt to look at one specific accessibility issue with all the context from an audit report, the accuracy improves dramatically.
That’s one reason why it’s so important to fine-tune and prompt AI at the individual issue level rather than trying to analyze entire audits. Each issue gets focused attention with all relevant context. The AI knows the specific WCAG criterion, the auditor’s notes, the recommended fix, and the applicable code.
This focused approach means developers get relevant, actionable guidance instead of generic advice. They’re not asking “how do I make my site accessible?” They’re asking “how do I fix this specific keyboard trap in my dropdown menu?” The specificity makes all the difference.
The Platform Difference
Unlike other accessibility platforms that are scan-based and provide skewed data, Tracker is premised upon real data from real (manual) audit reports. This means when you’re using AI to fix issues, you’re actually working towards full WCAG conformance, not a 100% automated scan score. Every issue tracked, every fix validated, every metric reported reflects true progress toward WCAG conformance.
The platform includes additional features that multiply the efficiency gains:
- Built-in prioritization formulas to instantly sort issues by legal risk or user impact
- Team member assignment for clear ownership of each issue
- Status tracking showing exactly where each issue stands
- Monthly progress reports documenting your compliance efforts
- Comment logs keeping all communication in one place
All of this happens in one centralized dashboard instead of scattered across emails and spreadsheets. The result is a streamlined workflow that eliminates the typical project management overhead.
Getting Started
The process is straightforward. Upload your existing audit report from any provider. You don’t have to be an Accessible.org client to use Tracker. The system extracts all issue data and makes it available in the dashboard.
Choose your prioritization method. Assign issues to team members. When team members encounter issues they’re unsure about, they use the AI tools for immediate guidance. No waiting for technical support callbacks. No searching through dense WCAG documentation. Just instant, contextual help exactly when needed.
As issues get fixed, mark them as completed. Have auditors validate the fixes directly in the platform. Track your progress with real-time analytics based on actual audit data, not meaningless scan percentages.
The result? Teams reach WCAG conformance 2.5x faster while building lasting accessibility expertise. That’s the latest AI application in digital accessibility: not automation, but intelligent assistance that makes fixes easier and faster than ever before. This is the advancement the industry has been waiting for.
Go to AccessibilityTracker.com to start with a free plan.
