Classify AI content, manage disclosure decisions, document human review and maintain a complete transparency record with one operating system.
Instant digital access • Business and agency licences • Operational and educational—not legal advice
Campaign asset • External audience
Text, images, audio, video, customer interactions and campaigns can all involve AI. The risk is not simply “using AI.” It is having no consistent way to classify the work, decide what needs review, preserve evidence and control publication.
AI use lives in personal workflows, scattered tools and undocumented handoffs.
Teams debate disclosure at the last minute without a consistent decision record.
Approvals, source checks and provenance disappear across email, chat and folders.
A repeatable workflow that connects every AI-involved asset to its owner, decision, review evidence and publication record.
Score 12 control areas, surface top risks and prioritise quick wins with a weighted internal diagnostic.
Create a controlled register of tools, owners, use cases, audiences, review and evidence locations.
Apply consistent internal categories without pretending a category automatically determines legal duties.
Structure the contextual questions, escalation signals and documented human decision.
Compare common scenarios and adapt operational wording for channels, media and interactions.
Implement clear introductions, limits, human escalation and interaction logging.
Connect content IDs, tools, sources, review, decisions, approvals and final publication evidence.
Turn “reviewed” into a meaningful evidence trail showing what was checked and changed.
Review synthetic media, voice, avatars, likeness, consent, context and release controls.
Track official policies, overdue reviews, open incidents and management-level metrics.
Move from baseline to operating cadence with owners, priorities, effort and success criteria.
Convert the system into a legitimate discovery, audit, implementation and reporting service.
The Disclosure Decision Engine guides users through role, content type, synthetic or manipulated media, real-person representation, distribution, public-interest context, human control, platform rules and jurisdiction.
It structures and documents decisions. It does not substitute for qualified legal counsel and never outputs “legally compliant.”
Document the AI tool and model when known, source materials, human author or editor, fact check, IP review, disclosure wording, approval, version and published location—all under one Content ID.
The system records who reviewed the asset, when, what sources were checked, what changed, how accuracy was verified, how disclosure was reviewed and who made the final approval decision.
Review context, consent, rights, real-person likeness, deception risk, disclosure, platform requirements and publication approval.
Maintain the official source, applicable content, current summary, change status and action required for each channel.
Control campaigns and produce client-ready audits.
Coordinate marketing, content and approvals.
Record editorial review and public-interest escalation.
Govern AI interactions, support content and product media.
Review product imagery, ads, claims and creator assets.
Deliver a repeatable governance implementation service.
49 finished files across XLSX, DOCX, PDF and PPTX, with instructions, examples, evidence logic and implementation handoffs.
Run discovery, audit client content, assess disclosure gaps, deliver an implementation proposal, report to executives and maintain monthly or quarterly governance.
The commercial licence allows completed client-specific reports and deliverables. It does not allow resale or redistribution of the source templates.
Assess readiness and register tools, uses and priority assets.
Adopt internal categories and test disclosure decisions.
Activate provenance, evidence and publication gates.
Audit gaps, report metrics and plan 90-day maturity.
Calibrate staff decisions across realistic content uses.
Practise escalation, platform checks and decision records.
Move every asset from intake through archive.
Run provenance and synthetic-media preflight reviews.
Maintain regulatory and platform-policy review history.
Sample evidence, identify failures and assign corrections.
One-time purchase. Instant digital delivery after successful payment.
For one organisation implementing the system internally.
For agencies and consultants implementing the system for clients.
No. The system helps organisations create a repeatable process for assessing and documenting transparency decisions. It is not a certification or guarantee.
No. It is an operational and educational toolkit. Obtain qualified legal advice where role, jurisdiction or applicability is uncertain.
No blanket conclusion is built into the toolkit. Decisions depend on context, applicable law, platform rules and the facts of the use case.
Yes, as an internal governance framework. Users must adapt it to the jurisdictions and sectors that apply to them.
It includes an official-source register, a platform-policy tracker and dated reference entries. Policies change and should be rechecked before material decisions.
Use the regulatory change tracker, platform change tracker and version-control workbook to record changes and affected files.
It is the traceable record connecting an asset to its AI tools, people, sources, checks, decisions, approvals, versions and publication evidence.
Yes, under the Agency / Consultant Commercial Licence. Completed client-specific outputs may be delivered; source templates may not be resold or redistributed.
No. Marketplace resale, repackaging, redistribution and claiming authorship of the underlying system are not permitted.
Yes. It includes a 30–45 minute presentation, facilitator notes, a knowledge assessment and answer key.
Establish a structured content-governance workflow your team can run, review and improve.
Get the Transparency OS