Govern AI.
Operate trust.
AIGN is the AI Governance family built around AIGN OS — the operating system for responsible AI governance — and AIGN360, the managed service layer that turns governance into a running business function.
Built for governance under pressure
AI governance is no longer a policy question. It is an operating question.
Organizations do not fail because they lack AI principles. They fail because AI systems, vendors, data flows, responsibilities and decisions are not continuously owned, reviewed, evidenced and defended.
AI is already operational
AI runs in HR, finance, customer processes, procurement, software and knowledge work — often faster than governance can follow.
Controls are fragmented
Legal, compliance, IT, data protection, risk and business units often hold pieces of governance — but no operating layer connects them.
Defensibility is missing
The decisive question is not whether a policy exists. It is whether an AI decision can be explained, evidenced and defended under pressure.
From visibility to defensibility.
AIGN creates a clear path from first exposure analysis to operated governance and visible trust.
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Expose
Identify AI use cases, systems, data flows, vendors and ownership gaps.
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Classify
Map regulatory relevance, risk level, sector exposure and control requirements.
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Architect
Use AIGN OS to define roles, controls, evidence, reviews and escalation paths.
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Operate
Run AIGN360 as a recurring managed AI governance function.
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Defend
Produce audit-ready evidence and management-ready governance reporting.
The AIGN Ecosystem.
AIGN separates IP, operation, education, accountability and trust — so the system scales beyond consulting and becomes a governance infrastructure.
AIGN OS
The architecture and IP foundation. It translates regulation into governance controls, workflows and evidence logic.
Explore OS →AIGN360
The managed service layer. It operates AI governance as a recurring function, not a one-off project.
Explore AIGN360 →AIGN Academy
Builds human and institutional AI governance capability through structured education and certification.
Explore Academy →AIGN Circle
The human accountability layer: curated professionals for governance judgment under pressure.
Explore Circle →AIGN EOS
Education Operating System for schools, universities and child-rights sensitive AI governance.
Explore EOS →Trust Labels
Visible, evidence-based governance signals for institutions, education and enterprises.
Explore Trust →The missing operating layer between regulation and daily AI use.
Governance Reviews
Recurring review cycles for use cases, risks, controls, ownership, changes and open issues.
Evidence & Documentation
Maintained decision records, control evidence, accountability documentation and audit-ready materials.
Regulatory Mapping
Continuous alignment with EU AI Act, GDPR, ISO 42001, NIS2, DORA, Data Act and sector requirements.
Risk & Escalation
Structured prioritization, issue handling, vendor risk governance and management-ready reporting.
Leadership & Defensibility
Fractional AI governance leadership for boards, C-level and exposed decision environments.
Three entry points
For organizations that need structure, roles, workflows and an operating model first.
Core managed service for ongoing AI governance control, evidence and review cycles.
Senior governance leadership for critical sectors, board pressure and complex AI risk.
Why it matters
Managed AI governance is relevant because internal teams often lack capacity, AI regulation changes quickly, shadow AI grows, and audits increasingly require technical and organizational evidence — not policy language alone.
Built for the people who must make AI governable.
AIGN360 is generic enough to work across industries, but structured enough that each business function sees its own governance responsibility.
AI governance does not happen in one regulation.
AIGN connects AI governance with data protection, cyber resilience, operational risk, sector regulation, vendor governance and responsible AI standards.
Monthly managed service. Clear scope. No open-ended consulting model.
Pricing should work as a signal: AIGN360 is not sold as hourly support, but as a defined governance operating function.
For first structure, governance baseline and operating model design.
- Use-case and risk baseline
- Initial regulatory mapping
- Role and workflow design
- Documentation structure
Core model for running governance as a recurring function.
- Recurring governance cycle
- Control and evidence maintenance
- Regulatory change tracking
- Risk and issue steering
- Audit readiness support
For C-level pressure, high-risk AI and exposed sectors.
- Fractional governance leadership
- Board and C-level sparring
- Critical decision support
- Defensibility layer
The system behind AIGN360.
AIGN OS is the architecture. AIGN360 is the operation. This separation prevents AIGN from being perceived as a simple consulting method and turns it into a scalable governance family.
Trust Infrastructure
Trust Labels, Scorecards, audit logs and verification records.
Legal Compliance Layer
Legal-to-architecture continuum for AI regulation and related duties.
Maturity Assessment
Readiness benchmarking and governance gap analysis.
Governance Implementation
Controls, workflows, evidence, reviews and operational toolchains.
Organisational Interface
Connects board, C-level, legal, compliance, IT, HR, procurement and business owners.
Framework Modules
Modular governance frameworks for sectors, SMEs, education, agents, data and culture.
Trust Kernel
Responsible AI principles translated into governance design rules.
AIGN OS provides the structured logic that AIGN360 applies in live governance operations.
- One architecture across multiple regulatory domains
- Built for operational controls, not only policies
- Designed for defensibility, audit and trust
Capability, accountability and sector depth.
The AIGN family is broader than a managed service: it includes learning infrastructure, curated human expertise and specialized frameworks for education and other domains.
AIGN Academy
Builds AI governance capability through structured education, certification and institutional readiness.
AIGN Circle
Curated access to governance-ready professionals who can exercise judgment and support accountability.
AIGN EOS
Education Operating System for schools and universities, including child-rights sensitive AI governance logic.
Trust that can be seen and defended.
Trust Labels translate governance maturity into a visible signal. AIGN360 prepares the operational foundation. AIGN OS provides the logic.
Corporate Trust Label
For enterprises and public bodies that need visible, evidence-based AI governance maturity.
- Governance operating model
- Evidence and control logic
- Management-ready reporting
- Renewable governance signal
Education Trust Label
For schools and universities implementing AI responsibly in education contexts.
- Education governance model
- Decision records and impact logic
- Human oversight and transparency
- Public trust signal
Move AI governance from documentation into operation.
Start with AIGN OS Design, move into AIGN360 Operate, or add AIGN360 Lead when governance must withstand board, audit or regulatory pressure.