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GOVERNANCE

Built for accountable
AI production.

Every asset needs a chain of trust.

Creative production increasingly combines people, AI models and automated systems. SIISTER is being designed to make that chain visible: where an asset came from, what changed, which systems were used, who contributed, who approved what and which rights apply.

The planned production record will connect authorship, rights, AI transformations, approvals and delivery across an asset's lifecycle.

Provenance, rights, permissions, traceability, human accountability, built into the workflow.

Abstract provenance and asset lineage graphic
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Creative Lineage

One traceable history for every asset, from source and authorship to edits, AI usage, approvals, rights and final delivery.

SIISTER is being built to bring an asset's production history into one connected record, preserving origin, authorship, rights, transformations, tools, AI usage, approvals and the final delivered version.

SOURCE

Origin, authorship and rights context.

PROCESS

Retouching, edits, versions and production steps.

AI USAGE

Models, tools and automated transformations.

DECISIONS

Reviews, approvals and rejections.

RESPONSIBILITY

Who or what performed each action.

DELIVERY

The final approved and released version.

SII-042_CAMPAIGN_STILL.TIF
PRODUCTION HISTORYEXAMPLE RECORD
  1. Source registeredOriginal photograph / V1 / Photographer
    SOURCE
  2. Skin retouchingPnLoP / V2 / Approved by Lead Retoucher
    AI USAGE
  3. Generative fillExternal Model / V3 / Rejected by Lead Retoucher
    DECISION
  4. Hair detailManual Retouch / V4 / Approved by Lead Retoucher
    PROCESS
  5. Delivery version selectedFinal export / V4 / Producer
    DELIVERY
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Provenance

The planned provenance layer is designed to connect each image with information about its origin, changes and AI usage.

SIISTER is being designed to support provenance signals and preserve their associated production context where available.

ATTACHEDC2PA Content CredentialsSigned provenance information associated with the asset.
EMBEDDEDWatermarkingAn identifier designed to remain detectable through supported transformations.
MATCHEDFingerprintingContent-based recognition to reconnect an asset to its record.
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AI Usage Traceability

A structured record of AI-assisted production, documenting model usage, asset transformations, version history and human oversight to support transparency, accountability and auditability.

SIISTER / AI USAGE LOGEXAMPLE RECORD / ASSET SII-042
Example SIISTER AI Usage Log: Time, Model, Action, Version, Operated By, Reviewed By and Status
TIMEMODELACTIONVERSIONOPERATED BYREVIEWED BYSTATUS
PnLoPSkin RetouchingV2RetoucherLead RetoucherAPPROVED
External ModelGenerative FillV3RetoucherLead RetoucherREJECTED
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Rights + Privacy + Human Oversight

Designed to support creative ownership and privacy by documenting copyright, licensing terms and usage rights, managing access permissions and keeping important decisions under human control.

USAGE RIGHTS

Rights

Which rights and licences apply.

ROLE CONTEXT

Access

Who can see what.

ACTION BOUNDARIES

Permissions

Who or what can take action.

DATA HANDLING

Privacy

How sensitive information is handled.

HUMAN DECISION

Approval

Where human validation is required.

NEWSLETTER

Stay in touch!

Research, product updates and occasional notes from SIISTER.