Shopping for an accessibility platform with AI requires separating marketing language from what the technology actually does. Real AI supports skilled practitioners by speeding up audit workflows, remediation guidance, and WCAG conformance tracking. It does not replace human evaluation, and it cannot automate conformance. The five insights below give you a practical frame for evaluating vendors, reading between the claims, and picking a platform that holds up once you start using it daily.
| Insight | What It Means for Buyers |
|---|---|
| Real AI vs. fake AI | Real AI improves practitioner efficiency. Fake AI claims to automate conformance, which is not possible. |
| Audit data is the foundation | AI is only as useful as the data behind it. Scan-only platforms feed AI a narrow slice of issues. |
| Scans detect about 25% of issues | Any platform relying purely on scans cannot map full WCAG conformance, no matter the AI layer. |
| Workflow fit matters more than features | The platform should match how your team actually works: auditing, prioritizing, fixing, validating. |
| Pricing transparency is a signal | Vendors who hide pricing often hide limitations. Clear pricing reflects a confident product. |
1. Know the Difference Between Real AI and Marketing AI
The accessibility software market is crowded with AI claims. Most of them collapse under scrutiny. Real AI makes skilled auditors, developers, and project managers faster at the work they already do well. It does not scan a website and produce a conformant product.
When a vendor claims their AI delivers WCAG conformance automatically, that is a signal to walk. Conformance requires human evaluation against success criteria. AI can suggest fixes, draft remediation guidance, prioritize issues, and help generate documentation. It cannot replace the auditor.
Ask vendors to show you exactly where AI fits into the workflow. If they cannot point to a specific step it speeds up, the AI is likely a label, not a feature.
2. The Data Feeding the AI Matters More Than the AI Itself
AI output is only as strong as the input. A platform built on audit data, where a qualified auditor has identified issues against WCAG 2.1 AA or 2.2 AA criteria, gives AI something substantive to work with. A platform built only on automated scan results gives AI a narrow, surface-level dataset.
Scans detect approximately 25% of accessibility issues. That is the hard ceiling. No AI layer sitting on top of scan data can extend past what the scan picked up.
When evaluating platforms, ask where the data comes from. Audit-based platforms produce AI features that operate on the full issue set. Scan-based platforms produce AI features that operate on a fraction of it.
3. What Should You Actually Expect AI to Do?
Useful AI inside an accessibility platform tends to show up in a few places. Fix guidance for specific issues. Prioritization suggestions based on user impact or risk factor. Auto-generated progress reports and documentation. Drafting initial content for a VPAT or ACR based on existing audit data.
These are efficiency gains. They compress hours of work into minutes. They do not produce a conformant product on their own. A practitioner still reviews, validates, and finalizes.
4. Workflow Fit Beats Feature Count
A platform with fifty features that do not map to your team's process will slow you down. A platform with the right ten features, organized around how accessibility work actually moves, will speed you up.
Accessibility work has a clear arc: audit, track issues, prioritize, remediate, validate, document. The platform should support each step without forcing your team into a shape that does not fit. Issue tracking should be clean. Prioritization should use real formulas like Risk Factor or User Impact. Remediation guidance should be specific enough to act on.
Before committing, map your team's current workflow and check whether the platform mirrors it. The Accessibility Tracker Platform was built around this arc, which is part of why teams move through it quickly.
5. Pricing Transparency Tells You About the Product
Vendors who post clear pricing tend to have confident products. Vendors who require a sales call before revealing a number are often pricing against perceived enterprise budgets, not fixed product value.
In accessibility software, opaque pricing also tends to correlate with opaque methodology. If you cannot learn what something costs, you also may not learn what the audit data behind it looks like, how the AI was trained, or what the platform actually delivers.
Transparency is not a guarantee of quality, but the absence of transparency is worth noting. Accessibility Tracker publishes its pricing openly, which reflects a product that does not need to be pitched behind closed doors.
Frequently Asked Questions
How do I evaluate an accessibility platform's AI during a demo?
Ask the vendor to walk through a specific task: generating a VPAT, prioritizing an issue list, drafting a fix for a failed success criterion. Watch whether the AI produces output a practitioner would actually use, or output that requires rewriting from scratch.
Can AI replace a human accessibility audit?
No. A human accessibility audit is the only way to determine WCAG conformance. AI can support the auditor and speed up documentation and remediation guidance, but the evaluation itself requires human judgment against the success criteria.
What features should I look for in an accessibility platform with AI?
Issue tracking tied to audit data, prioritization formulas, AI-assisted remediation guidance, progress reporting, and documentation generation like auto-generated VPATs. The AI should attach to each step of the workflow, not sit as a separate tool.
Does an accessibility platform need human audit data to be useful?
Yes, for full WCAG conformance work. Scan data covers roughly a quarter of issues. Audit data covers the full picture. A platform that ingests audit results gives your team and any AI layer real coverage to work against.
Shopping for an accessibility platform is less about the AI label and more about what sits underneath it. Look at the data, the workflow, the pricing, and the honesty of the claims. The right platform will feel grounded when you use it, not oversold.
Contact Accessibility Tracker to see how the platform fits your team: Contact Accessibility Tracker.