accessFlow now includes auto-resolve, a new AI-powered feature that clears repetitive accessibility issues automatically - no need to touch source code. By embedding a one-time hosted script, teams can fix common pattern-based problems in bulk while keeping full visibility and control over what changes are made.
If your team is facing thousands of accessibility issues, you're not alone. For many organizations, the journey to compliance is slowed by sheer volume - making it difficult to prioritize, stay on track, or even know where to start.
That’s why we built auto-resolve, a new feature in accessFlow that lets you automatically resolve repetitive accessibility issues, helping you reduce your backlog and move faster toward optimal, code-based accessibility.
Auto-resolve introduces a new layer of automation into accessFlow, allowing you to resolve accessibility issues at scale using accessiBe’s patented AI technology.
Instead of addressing every issue manually, teams can now automatically resolve common, low-complexity problems that often make up the bulk of accessibility backlogs. This means faster progress toward compliance, fewer bottlenecks in delivery, and more time for your developers to focus on high-impact fixes.
Auto-resolve is fully optional and designed to work alongside your current remediation process.
You stay in control of what gets fixed, how, and when, all within the same structured, native approach that accessFlow is built for.
Auto-resolve isn’t a shortcut - it’s a way to move faster without losing sight of what matters. By removing volume-driven blockers, it frees your developers to focus on deeper, context-specific work, like remediating custom components or resolving keyboard traps in dynamic interfaces.
There’s no learning curve. Anyone on your team, even those without accessibility coding experience, can contribute by applying grouped fix suggestions with a single press of a button.
Instead of resolving the same issue over and over again, you can fix multiple instances at once, cut down on repetitive tickets, and maintain momentum across your accessibility projects.
Importantly, if you and your team wish to go back and dive deeper into the issues handled by auto-resolve, you can do so at any time. Every change made by auto-resolve is tracked and transparent, providing you and your with absolute control over your code.
Auto-resolve is simple to set up - just embed a one-time snippet into your site.
Once it’s in place, accessFlow automatically flags issues that can be resolved at scale. These pattern-based issues will appear with a clear auto-resolve label.
From there, you can apply fixes in bulk with a single press, resolving multiple issues at once, without needing to touch your source code. Everything is tracked and reflected in your dashboard, so you always know what’s been fixed - and what’s still available for deeper review, if and when your team chooses to go further.
Auto-resolve focuses on accessibility issues that follow clear, repeatable patterns - the kind that appear frequently and can be resolved quickly and efficiently through automation.
These include:
Important note: The full list of issues recommended to be remediated by auto-resolve is more exensive.
Want to see how it works in practice? In this short walkthrough, we’ll show you how auto-resolve flags issues, groups suggestions, and applies fixes in just a few button presses, all inside your familiar accessFlow’s dashboard.
Auto-resolve brings new speed and scale to accessibility remediation — and it’s only the beginning. The latest updates to accessFlow expand what’s possible for developers and team leads alike, introducing tools that make accessibility testing, validation, and remediation faster and smarter than ever.
Alongside auto-resolve, you can now:
Together, these advancements help you reduce backlog, improve quality, and move toward compliance faster, all without disrupting your existing workflows.
Q1. What is auto-resolve in accessFlow?
A1. Auto-resolve is an AI-driven feature within accessFlow that automatically fixes repetitive accessibility issues—such as missing form labels, empty links, or low-contrast elements—without altering source code. It reduces backlog, accelerates compliance efforts, and frees developers to focus on higher-impact fixes.
Q2. How does auto-resolve work in practice?
A2. Once a one-time script is embedded into the site, accessFlow identifies eligible issues, marks them as “auto-resolve–eligible,” and lets teams apply fixes in bulk with a single action. Every change is tracked and logged for full transparency and control. Press here for more details.
Q3. Can auto-resolve replace manual remediation entirely?
A3. No. Auto-resolve targets common, low-complexity issues that repeat across pages. Complex UI components, dynamic interactions, keyboard traps, ARIA misuse, and user-journey validation still require expert, manual remediation.
Q4. What is the accessFlow SDK and how does it help development teams?
A4. The accessFlow SDK integrates accessibility testing into CI/CD pipelines and local dev environments (e.g., with Playwright, Cypress, or Selenium). It produces reports, supports build-fail thresholds, and uploads results to accessFlow so issues are caught before release.
Q5. What is accessFlow's MCP (Model Context Protocol) and what advantages does it offer?
A5. MCP connects your IDE’s AI assistant with accessFlow’s accessibility knowledge base. Developers can reference an issue ID to get structured fix guidance, WCAG references, and code-level suggestions without leaving their coding environment.
Q6. How do the SDK and MCP strengthen accessibility governance?
A6. The SDK enforces automated checks during builds to prevent regressions, while MCP drives consistent, WCAG-aligned fixes in context. Together they improve accountability, auditability, and compliance transparency.
