AI disclosure
Assign a clear AI badge and disclosure status to every governed content asset.
Argusly turns AI-assisted content production into a transparent, reviewable, and audit-ready workflow for teams that need control, evidence, and enterprise trust.
Trust layer
AI-assisted content record
Argusly is designed to make AI involvement visible, reviewable, and explainable without pushing teams into fragmented compliance spreadsheets.
Assign a clear AI badge and disclosure status to every governed content asset.
Track the meaningful events behind an asset: generation, review, fact-check, approval, publishing, and export.
Keep a record of model usage, prompt versions, output hashes, and generation context when AI is used.
Connect sources and evidence to the content workflow so teams can inspect what informed an output.
Review states, approvals, and editorial responsibility remain part of the publishing path.
Export audit-ready PDF reports and machine-readable disclosure data for enterprise review.
The goal is not to stop AI usage. The goal is to make the process around AI-assisted work traceable, reviewable, and fit for professional publishing.
AI helps create drafts, answers, improvements, translations, or campaign assets inside a controlled workspace.
Argusly stores model, prompt, source, status, and workflow events as part of the asset history.
Humans check claims, brand fit, source quality, and publication readiness before content moves forward.
Publishing remains connected to disclosure metadata, version history, and downloadable audit evidence.
Argusly does not replace legal advice. It gives organizations the operational controls needed to support transparent AI-assisted content workflows.
Enterprise buyers do not only ask whether content can be generated. They ask who approved it, what model contributed to it, which sources informed it, and whether the organization can prove that process later.
Show enterprise stakeholders how Argusly connects AI generation, review, publishing, and audit evidence in one governed workflow.