From Accessibility Findings to Release Evidence: WCAG Scans Are Now Built Into Your Test Reports

Automated accessibility testing can identify up to 57% of digital accessibility issues, according to Deque’s Automated Accessibility Coverage Report. That’s a meaningful chunk of coverage, and it’s also a reminder that finding an issue is only the first step. 

Every finding still has to be reviewed, understood, and factored into a release decision. And that’s often where the workflow breaks down, not because the scan didn’t run, but because the results it produced don’t live near the rest of the evidence a release decision depends on. 

The disconnect most teams are working around 

When accessibility results live in a separate tool, or arrive as a standalone report disconnected from the rest of the test run, teams end up doing the coordination work by hand: switching platforms, exporting data, and manually matching accessibility findings back to the specific test execution that produced them.  

Multiply that across every sprint, every build, every device, and it becomes painful to do for every release — enough that some teams quietly deprioritize accessibility checks rather than carry the overhead. 

That overhead has a compliance cost, too. An accessibility finding that can’t be cleanly traced to a build, a device, and a test run isn’t an audit-ready record. It’s a data point someone will have to go reconstruct later, usually under time pressure. 

What’s changed 

Accessibility scanning powered by Deque was already supported inside Digital.ai Testing. What’s new: those findings are no longer a separate artifact. They’re embedded directly inside the same test report your functional results already live in. 

Here’s what that looks like in practice: 

A test performs its normal functional flow while an accessibility scan runs alongside it.  

Once the test completes, the accessibility findings appear alongside the functional results from the same session. Each finding includes what a team needs to start investigating: impact, violation detail, severity, and the relevant accessibility guidance behind it. 

There’s no redirect to a separate dashboard and no manual correlation between “which scan matched which test.”  

It’s one session, one report, available across SaaS and on-premises deployments, so the evidence stays wherever your test data already lives. 

Built for what happens after the finding 

Identifying an issue is necessary, but it’s not sufficient. The workflow around a finding matters just as much as the finding itself. Three capabilities close that loop: 

Audit-ready evidence. HTML accessibility reports are viewable directly inside the reporter, and the raw JSON is downloadable, giving compliance and audit teams a traceable record tied to a specific execution. 

Secure sharing beyond the testing team. Using secure report sharing, the complete report can be shared through a protected link with stakeholders who need to review it. They see the same evidence the QA team sees, without a login or a re-export. 

A direct path into the fix. When a finding needs action, teams can create a Jira ticket directly from the report.  

Why this matters beyond the workflow win 

This isn’t just a convenience upgrade. It’s a response to two pressures that are both intensifying at once. 

The first is regulatory. The European Accessibility Act has been in enforcement since June 2025, and ADA-related digital accessibility litigation in the U.S. continues to climb. Both put a premium on evidence, being able to show which scan ran, on which build, as part of which execution, is what separates an audit-ready organization from one reconstructing its validation history under pressure. 

The second is velocity. AI-generated code now accounts for 40–50% of output in many enterprises (Digital.ai, The Fourth Wave: AI Is Writing the Code. Who’s Testing It?), and that pace shows no sign of slowing. More code shipping faster means more accessibility surfaces to validate every sprint.  

A workflow that requires manual correlation between functional and accessibility results doesn’t scale at that pace, it just falls further behind with every release. 

Identifying accessibility issues has never been the hardest part. Making them visible, actionable, and easy to act on before release is what moves the needle, and that’s the gap this closes. 

See it in action: From Accessibility Findings to Release Evidence