AI has not reduced the cost of accessibility audits in a meaningful way. Most audits still start at 1,000 dollars and range to 3,000 dollars, and the core work that drives that cost remains human-led evaluation. AI plays a supporting role in parts of the process, but it has not replaced the work that determines pricing.
| Key Point | What It Means |
|---|---|
| Audit cost range | Most audits cost between 1,000 dollars and 3,000 dollars regardless of AI involvement |
| What AI does well | Translates WCAG criteria into plain English, generates remediation code, and assists with documentation |
| What AI cannot do | Conduct an audit, replace human evaluation, or automatically fix issues |
| Where cost shifts | Post-audit support and documentation may cost less when AI augments the process |
Why Audit Pricing Has Not Dropped
An accessibility audit is a human-led evaluation of a website or application against Web Content Accessibility Guidelines (WCAG) conformance criteria. It involves screen reader testing, keyboard testing, visual inspection, and code inspection. AI cannot perform any of these activities with the reliability required for a conformance evaluation.
The evaluator’s expertise, time, and judgment are what drive audit pricing. Per-page costs typically range from 100 dollars to 250 dollars, and that rate reflects the skill required to identify issues that automated tools miss entirely.
Where AI Reduces Costs Around the Audit
AI does reduce costs in activities adjacent to the audit itself. After an audit identifies issues, AI tools can translate technical WCAG requirements into language that developers understand without additional consulting hours. AI can also generate code for specific accessibility fixes, reducing the time a development team spends on remediation.
Documentation is another area. AI can assist with generating reports, formatting issue descriptions, and producing Accessibility Conformance Reports (ACRs) more efficiently. ACR issuance typically costs 300 dollars to 1,000 dollars, and AI-assisted documentation workflows can bring that toward the lower end of the range.
Technical support hours, which typically cost around 195 dollars per hour, may also decrease when AI provides instant answers to common developer questions about remediation.
What AI Cannot Replace in the Audit
AI cannot conduct an accessibility audit. It cannot evaluate whether a screen reader experience is logical, whether focus order makes sense in context, or whether content is understandable to a real user. These are judgment calls that require human expertise.
AI-based scans are also not a substitute for traditional automated scans paired with human evaluation. AI scans may flag more potential issues, but with significant uncertainty. Many of those flags require manual verification, which eliminates any efficiency gain. Traditional automated scans detect approximately 25% of issues with high accuracy. The remaining 75% requires human evaluation.
How to Think About AI and Audit Budgets
When budgeting for an accessibility audit, the audit itself is not where AI saves money. The savings appear in what happens after the audit: remediation support, developer guidance, and documentation.
Organizations that factor AI tooling into their remediation workflow may spend less on technical support hours and get fixes implemented faster. The audit cost stays the same because the audit demands the same human expertise it always has.
AI is an efficiency tool for the work that surrounds an audit, not a replacement for the audit itself.