After a client receives our audit report, they start making fixes. After they make the fixes, we validate the fixes and/or answer questions.
We built Accessibility Tracker (our new web app) to efficiently track this process and we compounded the time-savings by integrating artificial intelligence (AI) into Tracker. This way clients can ask AI questions about remediation inside each individual accessibility issue.
It really is this simple: while a developer is looking at an accessibility issue, they can ask AI about that specific issue inside that dashboard.
Let’s look at the details.
Efficient, Not Automated
We can’t automate accessibility audits, yet. If we can’t automate finding the accessibility issues, we certainly can’t automate fixing them. However, we can make remediation process more intelligent and efficient and that’s what this is.
Specific Issues
AI falls apart when you give it to broad of a task. It misses important nuances, makes surprising errors (even based on logic), and overlooks important steps.
However, when you fine-tune the prompt to look only at one specific thing, the accuracy of AI improves wildly and this is one big benefit of integrating AI prompts into each individual issue.
Issue Fix
Let’s say even after looking at the audit report fix recommendation, you’re not sure how to fix a keyboard trap issue (WCAG 2.1.2), you can ask AI:
“How do I fix this keyboard trap in my dropdown menu for this code [insert applicable code]?”
This feature is particularly helpful for developers who may be new to accessibility and need immediate guidance without waiting for technical support.
Cost Savings
AI saves time and energy in multiple ways which means Accessibility Tracker saves money. Here’s how:
- Reduced developer time figuring out how to fix issues
- Shorter validation cycles
- Less back and forth
- Less meetings
- Less technical support hours
For example, a project that might have required 20 hours of technical support now only takes 13.
When you consider that we charge $195/hour for technical support, that’s a lot of money saved from the remediation side.
Next Steps
Of course, Accessibility Tracker has more features to make the accessibility remediation process more efficient, but AI is an important one. Here’s how a Tracker flow might work:
- Upload existing audit reports from any provider (you don’t have to be our client)
- Instantly prioritize issues by risk or impact
- View any issue, if you want to ask AI a question, do so
- Track remediation progress
Contact us today to get started with Accessibility Tracker.
