AI Governance
as an operated function.
Powered by AIGN OS.
AIGN360 turns AI governance from a policy project into a continuously operated governance function. It helps organizations control AI use cases, responsibilities, evidence, reviews, vendors, risks and regulatory expectations across business, compliance, legal, IT, data, HR, procurement and the boardroom.
Recurring reviews, controls, documentation, evidence, escalation and audit readiness.
Fractional senior AI governance leadership for decisions, prioritization and accountability.
AIGN OS-based operating model, roles, workflows, governance logic and defensibility layer.
The market is moving from AI governance projects to AI governance operations.
Companies are already using AI in HR, finance, customer operations, software delivery, procurement, knowledge work and risk processes. The gap is no longer awareness. The gap is operational control: who owns the use case, who reviews it, who documents it, who can defend it, and who keeps it aligned when models, vendors, laws and business processes change.
AIGN360 is not a generic advisory package. It is the managed operating layer for AI governance: structured, repeatable, evidence-oriented and built on the AIGN OS logic for responsible, defensible and scalable AI governance.
Governance logic: five steps
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Expose
Make AI use cases, systems, data flows, vendors, decisions and ownership visible across the organization.
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Classify
Map regulatory relevance, risk level, business criticality, sector exposure and control requirements.
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Design
Define roles, governance forums, workflows, evidence standards, human oversight and escalation paths.
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Operate
Run recurring reviews, maintain documentation, monitor changes, prepare audits and manage exceptions.
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Defend
Ensure management can evidence why an AI system was approved, controlled and still fit to operate.
One operating logic. Three entry points.
AIGN360 is designed so every organization can find its starting point: from first structure, to managed operation, to senior governance leadership under pressure.
AIGN OS Design
For organizations that need a robust AI governance operating model before scaling AI use.
- AI use case and governance baseline
- Role, responsibility and forum design
- Policy-to-process translation
- Evidence and documentation architecture
- Roadmap into managed operation
AIGN360 Operate
For organizations that need AI governance to run continuously, not only exist on paper.
- Recurring governance reviews
- Control and documentation maintenance
- Regulatory mapping and change tracking
- Audit-readiness and evidence support
- Risk, issue and escalation management
AIGN360 Lead
For companies requiring senior external AI governance leadership without building a full internal team.
- Fractional AI governance leadership
- C-level and board-level decision support
- Prioritization of critical AI risks
- Cross-functional stakeholder steering
- Defensibility under regulatory pressure
Built for every organization that uses AI but cannot afford uncontrolled AI.
AIGN360 is generic enough to work across sectors, but precise enough to address the different pressure points of boards, legal, compliance, IT, data, HR, procurement, risk, SMEs and regulated enterprises.
AI governance does not happen in one regulation.
AIGN360 connects AI governance with data protection, cyber resilience, operational risk, sector regulation, vendor governance, audit expectations and responsible AI standards.
Governance that holds under pressure.
AIGN360 is designed for the moment when AI governance is no longer a concept, but a management question: can the organization prove that AI is known, controlled, reviewed and still authorized to operate?
Defensibility
Clear evidence for approvals, decisions, controls, changes and accountability.
Operating control
Recurring governance cycles instead of static documentation and one-off projects.
Cost efficiency
External senior capability without immediately building a full internal AI governance team.
Scalable trust
A structure that supports innovation while reducing unmanaged AI, shadow AI and audit gaps.
Monthly managed service. Clear scope. No open-ended consulting model.
The following tiers are positioning anchors and can be adjusted by use-case count, risk profile, sector exposure, number of AI systems, internal maturity and required service level.
For first structure and governance baseline
- Use-case and risk baseline
- Initial regulatory mapping
- Governance role model
- Documentation structure
- Monthly steering review
For running AI governance as a recurring function
- Recurring governance cycle
- Control and evidence maintenance
- Regulatory change tracking
- Management-ready reporting
- Risk and issue steering
- Audit preparation support
For C-level pressure and high-risk AI environments
- Fractional governance leadership
- Board and C-level sparring
- Critical decision support
- Cross-functional steering
- Defensibility and accountability layer
- High-risk governance escalation
Can your AI governance operate under pressure?
Move the sliders to estimate whether your current governance is visible, owned, controlled, evidenced and operationally resilient. The result indicates which AIGN360 model is most relevant.
- Overall
- 50 / 100
- Main gap
- –
- Control level
- Medium
- Fit
- Operate
Your governance is visible in parts, but not yet reliable enough under pressure.
Initial structures exist, but active control, evidence and resilience are not yet consistently embedded.
Translate the result into an operating model.
The radar is not a legal assessment. It is a practical signal of whether your organization needs AIGN OS Design, AIGN360 Operate or AIGN360 Lead.
Move AI governance from documentation into operation.
In an initial conversation, we clarify your AI governance reality, relevant regulations, current gaps, sector exposure and whether AIGN OS Design, AIGN360 Operate or AIGN360 Lead is the right entry point.
- Confidential
- Focused first conversation.
- Operational
- No generic workshop. Clear operating logic.
- Defensible
- Designed for evidence, control and accountability.