Atlas² turns audit results into practical remediation steps — disclosure language, metadata structure, implementation checklists, and monitoring workflows.
Disclosure remediation
Compliant disclosure copy, placement guidance, and implementation checklists.
Metadata structure repair
Organize, correct, and document metadata so assets can be explained later.
Privacy / policy language
Review whether your public policy reflects AI-assisted processing and content.
Accessibility remediation
Plain-language WCAG fixes your web team can implement.
AI asset labeling system
A repeatable internal process for labeling AI-generated media.
Compliance evidence folder
A documented, defensible trail for your AI-assisted work.
Failed a score? Start here.
Tell us what happened. We'll review the failure points, organize the findings, and build a remediation path.
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