AIGN
OS 4.0
Global AI Governance Reference Model
For Organizations · Startups · Governments · Family Enterprises
Contents
Built for every
organization
Organizations worldwide are deploying AI faster than they can govern it. AIGN OS 4.0 is a global reference architecture designed to help any organization classify AI systems operationally and defensibly, regardless of size, industry, or geographic location.
No governance without classification. No defensibility without evidence. No trust without a system.
Reference use is permitted with attribution. Commercial implementation, template use and certification-related use require a separate agreement.
The structural
problem
Organizations are making AI governance decisions without operational capability. Four tensions define this gap:
AI deployment outpaces classification capability across all sectors and geographies.
Compliance obligations become enforceable while internal budgets remain frozen.
Governance titles are created before operating models are defined or resourced.
The distance between governance decision-making and governance operational capability.
Regional
frameworks
AIGN OS 4.0 is anchored in the EU AI Act but designed for global application.
- EU AI Act (Reg. 2024/1689)
- In force since 1 August 2024. Key transparency obligations apply from 2 August 2026. Under the 2026 Digital Omnibus political agreement, high-risk AI timelines are expected to shift to 2 December 2027 for standalone systems and 2 August 2028 for product-integrated systems, subject to final legal adoption and local validation.
- USA — NIST AI RMF
- Voluntary at federal level; increasingly informs sectoral governance, procurement, and supervisory expectations.
- Canada
- Proposed federal AI legislation. Focus: transparency, human oversight, governance accountability.
- Brazil — LGPD + PL 2338/2023
- Risk-based AI legislation proposed. Focus: data protection, transparency, accountability for high-impact systems and fundamental-rights safeguards.
- Mexico — LFPDPPP
- Focus: personal data protection, consent, processing transparency and data governance baseline.
- Singapore
- AI Verify Framework (active). Focus: testing, validation, transparency standards.
- Australia
- Voluntary AI Standard (emerging). Focus: risk-based governance and transparency.
- Japan, South Korea
- National AI roadmaps. Focus: innovation + accountability balance.
- China
- GenAI regulations and algorithmic transparency in force. Focus: content governance and state oversight.
Eight-Layer
Architecture
AIGN OS 4.0 defines eight layers. Layer 3 is the entry gate: its outputs determine requirements for every other layer.
Classification &
Regulatory Pathway
Every material AI system should pass through the full AIGN OS 4.0 classification pathway.
Classification determines compliance. Layer 3 is the entry gate. Its outputs feed all other layers.
The pathway includes: AI system qualification · prohibited-use screening · transparency assessment · high-risk mapping · GPAI dependency · FRIA trigger · EU registration assessment · responsibility mapping · classification evidence bundling.
ISO/IEC
42001
Implementation Evidence & Audit Readiness
Organizations seeking ISO/IEC 42001 certification can use AIGN OS 4.0 artefacts to structure implementation evidence, support audit readiness and operationalize governance controls. AIGN OS does not replace certification requirements, but helps make them executable and defensible.
By Organization
Type
Full-Scale Deployment
Full AIGN OS 4.0 across multi-geography operations. Covers all eight layers with cross-border regulatory mapping.
Foundation First
Layers 3–4 as governance foundation, expanding at scale. Build compliance before regulators arrive.
Accountability Core
Layer 1 (accountability) + Layer 3 (classification). Protect brand, ensure continuity, and build governance for succession.
Public Accountability
Full AIGN OS 4.0 with FRIA (Art. 27). Operationalize governance with transparency and democratic accountability.
Sector
Application Areas
AIGN OS 4.0 is sector-neutral by design, sector-specific in application — one operating architecture adaptable to any industry’s risk and evidence requirements.
| Sector | Typical AI Governance Challenge | AIGN OS 4.0 Relevance |
|---|---|---|
| Financial Services & Insurance | Credit scoring, fraud detection, underwriting, model risk, customer decisions | Classification, accountability, evidence, audit readiness |
| Healthcare & Life Sciences | Clinical support, patient risk, diagnostics, sensitive data | Human oversight, data governance, safety, explainability |
| Public Sector & Government | Public decisions, benefits, enforcement, citizen-facing AI | FRIA, transparency, fundamental rights, accountability |
| Education | Learning analytics, student assessment, EdTech, child-related data | Trust labels, transparency, oversight, responsible deployment |
| HR & Workforce Management | Recruiting, performance evaluation, workforce analytics | High-risk classification, bias controls, human oversight |
| Retail, Consumer & E-Commerce | Personalization, pricing, customer service bots, profiling | Transparency, profiling checks, consumer trust |
| Industrial & Critical Infrastructure | Predictive maintenance, autonomous operations, safety components | Safety classification, incident monitoring, operational controls |
| SaaS, AI Vendors & Technology | AI products on market, GPAI dependencies, customer-facing AI | Provider/deployer mapping, technical documentation, evidence bundles |
| Family Enterprises & Mittelstand | Limited governance capacity, reputational risk, succession and continuity | Lightweight governance model, role clarity, scalable implementation |
Access
Models
Reference Use
Non-commercial citation permitted with attribution. Free.
Commercial Implementation
Organizations implementing for clients. Engagement + license model.
Library Access
Annual license or controlled enterprise license for template library.
Certification
Regional or category partnership model available.
Three-Phase
Activation
Assessment
- Share this brief with governance, legal, and compliance leadership
- Identify 3–5 material AI systems in your organization
Engagement
- Contact AIGN to scope regulatory timeline and sector context
- Choose implementation path: Classification Sprint, Board Readiness, or Full Operating Model
Implementation
- Run systems through Layer 3 classification pathway
- Build board evidence using six-question standard
- Establish continuous monitoring and reclassification discipline
Classification is not a project.
It is the entry point.
AIGN OS 4.0 provides global regulatory interoperability — mappable to EU AI Act, ISO/IEC 42001, NIST AI RMF and regional frameworks, subject to local legal validation.
www.aign.global · June 2026