Level Access Launches New AI Agents to Pioneer the Next Wave of Digital Accessibility

Level Access, a category leader in digital accessibility solutions, announced the launch of new AI accessibility agents and capabilities meant to help organizations find accessibility issues earlier, fix them faster, and prove progress as they face accelerated development cycles and increasing demands on time and resources.

The capabilities are designed to cut noise, ease manual effort, and help teams ship more accessible experiences efficiently while helping leaders demonstrate proof of progress and ROI on demand. The agents will embed directly into the workflows teams already use, including DevOps workflows, audit and monitoring cadences, and reporting processes, to support and enhance organizations’ existing accessibility programs.

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“Embedding AI agents throughout our platform is part of our continued commitment to lightening the load on the dedicated individuals working every day to make the internet more accessible,” says Mark Zablan, CEO of Level Access. “These intelligent capabilities empower our customers to scale inclusion without slowing innovation or adding complexity.”

Closing the gaps that stall accessibility programs

Level Access’s new AI agents and capabilities are built to bridge three critical gaps facing modern accessibility programs. The first is the risk gap, in which teams can’t understand their real compliance risk status due to overwhelming and often duplicative data, housed in siloed, static documents. The second is the resolution gap, in which teams can’t fix issues quickly enough because they lack in-flow, developer-specific insight on the issues they do have to fix. The third gap is the evidence gap, in which teams can’t demonstrate program progress and value in a way that’s clear and compelling enough to secure executive buy-in (and funding), causing their programs to stall, or even shut down altogether.

With this launch, Level Access adds foundational AI agents and capabilities across three essential value categories, “Find,” “Fix,” and “Prove,” designed to solve these critical gaps for every organization.

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FIND earlier

• Common Findings: Group repeated issues for faster triage in bulk.
• AI Filtering: Prioritize findings using natural-language prompting.
• Monitoring Summaries: Highlight run-to-run deltas with suggested next steps.

FIX faster

• Code Suggestions in Level CI: Get code remediation guidance directly in developer workflows.
• Audit Summaries: Generate goal-aligned action plans from manual evaluations.
• Ask Level AI: Get real-time, in-context support and guidance from an assistant trained on accessibility and 25+ years of Level Access industry expertise.
• Model Context Protocol (MCP) Server: Fix faster with fewer context switches. MCP supports context-rich integration between the Level Access Platform and LLM-powered AI assistants.

PROVE progress

• Reporting Agent: Quickly generate executive-ready summaries that highlight resolved and unresolved findings.

“These new agents aren’t just smart, they’re embedded directly where work happens,” says Andrew Chung, Chief Product Officer at Level Access. “By aligning with teams’ everyday workflows, we aim to make accessibility a seamless, sustainable part of how organizations operate. We’re helping teams build better—for everyone—without fundamentally changing how they work.”

Built for scale, designed for trust

These capabilities are part of Level Access’s hybrid intelligence operating model, which combines platform automation, AI agents, and oversight by human experts to support defensibility and enterprise-grade compliance.

“Our agentic AI roadmap, coupled with the delivery of our MCP server, helps to shift accessibility from an intermittent check to a proactive, built-in process. These capabilities are engineered to help teams integrate our unique blend of hybrid intelligence into their workflows and speed their impact,” says Alistair Garrison, Head of AI Innovation at Level Access. “That’s the future we’re building: AI that drives action, supports autonomy, and strengthens inclusion at scale.”