Category 01
Safe Auto-Fix
Simple, low-risk corrections where the intended outcome is clear and can be verified.
AI Insight
AI Insight
Use AI to accelerate understanding—without handing it the final decision.
Pluro explains findings, proposes remediation paths and separates low-risk corrections from work that needs review, context or expert judgment.
AI-assistedHuman-controlledAI with boundaries
Different accessibility issues require different levels of trust.
A missing deterministic attribute is not the same as a heading decision, a content label or a complex interaction. Pluro classifies the recommendation so teams know what can move quickly and what must remain under human control.
Category 02
Needs Review
Suggestions that require content, product, design or accessibility judgment before action.
Category 03
Manual Remediation
Complex semantic or behavioral issues that should be handled by developers or experts.
Explain the recommendation
Show the issue, the proposed change and why it matters.
AI Insight is most useful when it reduces interpretation time without hiding uncertainty. Reviewers see the affected element, user impact, recommendation, expected outcome and confidence boundary before approving a path.
- Plain-language issue explanation
- Relevant technical and WCAG context
- Suggested remediation with expected outcome
- Explicit review status and approval step
- Connection to verification after the change
FindingIcon-only button has no accessible nameConfirmed
SuggestionAdd aria-label based on visible action contextReview
BoundaryReviewer confirms intended action wordingHuman
Responsibility stays visible
AI supports the workflow. People remain accountable for the result.
No guessing
Unclear intent is escalated
Pluro should not invent labels, reading order or behavior where context is missing.
Human approval
Context-sensitive work is reviewed
Reviewers can approve, edit, reject or route a recommendation to an expert.
Decision history
Actions remain traceable
The recommendation, selected path and review status stay connected to the finding.
Verification
The outcome is retested
A recommendation is not treated as successful until the original issue is checked again.
Expert escalation
Complex work stays manual
Behavior, design and meaning decisions are routed to the right professional.
No compliance promise
AI is an assistance layer
It accelerates work but does not replace comprehensive testing or professional judgment.
Review AI Insight in a real remediation scenario.
See how Pluro moves from finding to explanation, recommendation, human decision and verification.
