A11y Intelligence
From audit data to enterprise-grade remediation strategy — powered by AI.
Turn accessibility audit data into a scalable, defensible remediation strategy grounded in real-world product constraints.
Not an overlay. Not automated compliance. No consulting bloat.
Big consulting isn't
the only way.
Forged inside complex, global product ecosystems.
A11y Intelligence was shaped inside complex, multi-product organizations — where accessibility spans design systems, platform engineering, procurement pressure, and real release constraints. The patterns here come from that environment: how accessibility programs mature when multiple teams and surfaces have to move together.
This is not theoretical consulting advice.
It's how accessibility actually matures at scale.
- Built for multi-team product environments
- Designed around risk, capacity, and procurement realities
- Systems thinking over ticket churn
Strategy for real complexity.
- Multiple teams
- Multiple codebases
- Distributed ownership
- Legal and procurement pressure
- Shipping velocity constraints
Accessibility strategy has to survive this environment. This one is built for it.
How it works
Upload your audit
Provide JSON, CSV, or XML. Bring your own data.
Share constraints
Timeline, capacity, risk tolerance, business context.
Receive a strategy roadmap
Structured, prioritized, ready to execute.
What you get
Outputs designed to plug directly into planning, Jira, and stakeholder alignment.
Scaling accessibility without scaling consulting
A11y Intelligence turns audit results into a repeatable remediation system — prioritization, sequencing, milestones, and defensible tradeoffs — without the overhead of a large consulting engagement. It works for smaller teams and stays coherent as complexity grows.
Built for real product complexity
- Multiple teams across multiple surfaces
- Distributed ownership across design, engineering, and platform
- Mixed codebases and legacy constraints
- Legal, procurement, and risk pressure (when it applies)
Designed for how products actually ship
- Fits sprint cycles, roadmaps, and release cadence
- Prioritizes by impact × effort × exposure
- Makes tradeoffs explicit and defensible
- Supports phased burn-down without regressions
From audit chaos to systemic leverage
- Multi-dimensional clustering (severity × WCAG × surface × systemic pattern)
- Pattern detection across components and flows
- Milestone-ready sequencing you can plan against
- Jira-ready structure with clear attribution
Common questions
- Is this an automated WCAG 2.2 compliance tool?
- No. This generates a structured remediation strategy grounded in your audit data and real-world delivery constraints.
- Who should use an accessibility remediation strategy engine?
- Product and engineering teams scaling into enterprise — or operating within complex product environments.
- How is this different from traditional consulting?
- The strategy patterns are encoded from large-scale accessibility programs. You get the thinking without the consulting overhead.
- Does this replace accessibility experts?
- No. It amplifies your team with structured expert reasoning and defensible tradeoffs.