Governance Evidence
for Enterprise AI.
A structured governance artifact for documenting AI systems, ownership, intended use, risk, safeguards, accountability and supporting evidence.
Turn AI systems
into governable objects.
Enterprise AI governance requires more than an inventory of applications and models. Each relevant AI system needs structured context around why it exists, where it is used, who owns it and how it is governed.
The SoSure Model Card provides a consistent documentation structure for connecting an AI system to organizational accountability and governance evidence.
Visibility identifies the system.
Evidence makes it governable.
One structured record.
Multiple governance dimensions.
A Model Card brings the information required for governance into a common structure rather than leaving it distributed across teams, documents and systems.
The AI system, model, application or governed use case being documented.
Intended use, organizational context and relevant business function.
Business and organizational responsibility for the governed AI system.
Relevant risk considerations and governance exposure associated with use.
Controls, review mechanisms and governance measures associated with the system.
Documentation supporting review, accountability and governance decisions.
Connect technology
to accountability.
The Model Card creates a structured chain between the AI system and the organizational context required to govern it.
Establish the identity
of what is being governed.
Governance evidence begins with a clear description of the AI system or use case. The organization needs to understand what it is, why it exists and where it operates.
Define who owns it
and what applies.
A governed AI system needs an organizational owner and a clear relationship to the policies, requirements and review processes relevant to its use.
Governance evidence
must remain useful over time.
AI systems, providers, intended uses and organizational conditions can change. Governance documentation therefore needs to support review and continued oversight rather than exist only as a one-time record.
The Model Card provides a structured reference point for governance review as the underlying AI environment evolves.
Document risk
without pretending it disappears.
A Model Card can document known risk considerations, safeguards, ownership and supporting evidence. It does not itself eliminate technical, operational, legal or organizational risk.
Governance decisions remain dependent on the specific AI system, its context of use and the organization responsible for it.
Documentation supports governance.
It is not a substitute for governance.
Accountability remains
organizational.
SoSure provides structure for governance visibility, documentation and oversight. It does not replace the organization's responsibility for decisions concerning AI deployment, use, risk or compliance.
AI can act.
Humans remain accountable.
Know what the artifact does.
Know what it does not do.
Structured AI governance documentation.
Ownership and accountability context.
Risk and safeguard documentation.
Governance evidence and review context.
Consistent records across AI systems and use cases.
Independent technical validation of an AI system.
Legal or regulatory assessment.
Security testing or operational assurance.
Human review and organizational decision-making.
Enterprise responsibility for AI deployment and use.
Evidence connects
visibility to governance.
Within the SoSure control plane, structured governance evidence provides context around the AI systems visible across the enterprise environment.
The objective is not documentation for its own sake. It is to establish a stronger connection between technology, ownership, governance and executive oversight.
Structured evidence.
Clear ownership.
Governable AI.
Governance documentation should evolve as the AI system, organizational context and applicable governance requirements change.
Model Card documentation can be adapted to the governance requirements and AI environment of the individual enterprise.