Level Access, a leader in digital accessibility solutions, launched a suite of AI accessibility agents and capabilities designed to help organizations detect accessibility issues sooner, resolve them faster, and demonstrate measurable progress. The rollout comes as companies face accelerated development cycles alongside growing demands on time and resources.
These new AI-driven tools aim to reduce noise, minimize manual effort, and enable teams to deliver accessible experiences more efficiently. They seamlessly integrate into existing workflows, including DevOps pipelines, audit schedules, and reporting processes, enhancing organizations’ ongoing 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,” said Mark Zablan, CEO of Level Access. “These intelligent capabilities empower our customers to scale inclusion without slowing innovation or adding complexity.”
Bridging Critical Gaps in Accessibility Programs
Level Access built the new AI agents to address three persistent challenges in modern accessibility programs. The first, the risk gap, occurs when teams struggle to understand compliance status due to overwhelming, often duplicated data stored in siloed documents. The second, the resolution gap, emerges when teams cannot fix issues quickly because they lack in-flow, developer-specific insights. The third, the evidence gap, arises when organizations cannot clearly demonstrate program progress to secure executive buy-in and funding, often stalling initiatives.
To address these challenges, the platform introduces AI capabilities across three value pillars: Find, Fix, and Prove.
FIND earlier
- Common Findings: Groups repeated issues for faster bulk triage.
- AI Filtering: Prioritizes findings using natural language prompts.
- Monitoring Summaries: Highlights changes between runs and suggests next steps.
FIX faster
- Code Suggestions in Level CI: Provides code remediation guidance within developer workflows.
- Audit Summaries: Generates actionable plans aligned with organizational goals.
- Ask Level AI: Delivers real-time, in-context guidance leveraging 25+ years of Level Access expertise.
- Model Context Protocol (MCP) Server: Reduces context switches for faster fixes.
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PROVE progress
- Reporting Agent: Quickly produces executive-ready summaries highlighting resolved and pending findings.
“These new agents aren’t just smart, they’re embedded directly where work happens,” said 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
The AI capabilities form part of Level Access’s hybrid intelligence model, combining platform automation, AI agents, and human oversight to ensure 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,” said 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.”
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