AI Governance – Visibly

AIGN – The Operating System for Responsible AI Governance
From law to certifiable trust

Govern AI.
Operationally.

AIGN turns fragmented AI regulation, ethics and risk into one certifiable governance system — the world’s first AI Governance Operating System.

2,000+ governance professionals · 50+ countries · DOI-registered science ©2026 Patrick Upmann
AIGN Ecosystem Architecture
Trust Labels
Certifiable, DOI-verified governance signals
AIGN EOS ✦ New
Education OS · EDR · CRIA · Schools & Universities
AIGN Academy
Education · Certification · Institutional Capability
AIGN Circle
Human accountability · Curated governance professionals
AIGN OS
8-layer governance architecture · Assessments · Controls
Regulatory Alignment
EU AI Act · ISO 42001 · NIS2 · DORA · Data Act · GDPR 2.0
Trusted across the ecosystem
2,000+Network members
50+Countries
30+Regional ambassadors
8OS architecture layers
EOSEducation OS · 2027 ready
DOIRegistered science
The structural gap

Regulation defines obligations.
AIGN makes them operational.

AI capabilities accelerate exponentially. Institutional governance capacity evolves linearly. Laws set the bar — but they do not provide the architecture to reach it. Boards are no longer asked whether AI is used. They are asked whether decisions made with it can be defended.

Infrastructure, not documents

Governance becomes a real operating layer — not a static policy set that sits in a folder and does nothing under scrutiny.

Readiness before exposure

Measurable visibility into regulatory gaps, maturity levels and governance exposure — before a challenge, audit or incident arrives.

Trust that can be proven

Accountability made visible through evidence, certification and auditable governance signals — not by declaration alone.

The journey

From first assessment
to certified governance.

01

Assess

Structured diagnostics across EU AI Act, NIS2, DORA, Data Act and Board Defensibility reveal your real exposure and maturity.

02

Architect

AIGN OS translates obligations into an operational 8-layer governance architecture — controls, decision logic, evidence and escalation paths.

03

Build capability

The AIGN Academy builds individual and institutional readiness — from board-level understanding to audit-grade governance artefacts.

04

Certify trust

DOI-verified Trust Labels make governance maturity publicly visible — a certifiable signal for stakeholders, partners and regulators.

One system. Five layers.

The AIGN Ecosystem.

Product, education, human accountability and visible trust — built as one coherent architecture, not as separate offerings that happen to share a brand.

I OS

AIGN OS

The governance operating system. 8-layer certifiable architecture translating law into operational controls, decision logic and audit-ready evidence.

Explore AIGN OS
II Academy

AIGN Academy

The global education and certification infrastructure. Transforms regulation into measurable human and institutional AI governance capability.

Explore Academy
III EOS · New

AIGN EOS

The Education Operating System. First auditable, certifiable AI governance architecture for schools and universities — EDR, CRIA, EU AI Act 2027 ready.

Explore EOS
IV Circle

AIGN Circle

The human accountability layer. Curated global access to governance-ready professionals who can exercise judgment and stand behind decisions.

Explore Circle
V Trust

Trust Labels

The visible outcome layer. DOI-verified certifications that signal proven governance maturity to stakeholders, regulators and the public.

Explore Labels
AIGN OS

The world’s first certifiable
AI Governance Operating System.

Not software. Not a checklist. Not a consultancy toolkit. AIGN OS is a legal-to-technical governance architecture — built for autonomous systems, agentic AI, global regulation and fiduciary accountability.

1

Trust Infrastructure

Trust Labels, Scorecards, Audit Logs and verification records usable in audits, funding and supervision.

2

Legal Layer — Systemic Compliance Infrastructure

Legal-to-Architecture Continuum™ integrating GDPR 2.0, EU AI Act, NIS2, DORA, DGA and the Data Act.

3

Maturity Assessment Layer

ASGR – AIGN Systemic Governance Readiness Index. Automated benchmarking against EU AI Act, ISO/IEC 42001 and OECD.

4

Governance Implementation Layer

Compliance Engine and Governance Toolchains — procedures, workflows and controls for daily practice.

5

Organisational Interface

Connects governance to real actors: Boards, C-level, legal, AI teams, HR and procurement — with clear decision rights.

6

Framework Modules

Seven modular frameworks for global deployment, education, SMEs, agentic AI, data, culture and supervisory governance.

7

Trust Kernel — Foundations of Responsible AI

Normative core: principles, values and design rules from human-centric design to non-discrimination and redress.

8

Supervisory AI Governance Layer (SAIGF)

Board-level oversight, Annual AI Governance Statements, SAIGF Maturity Certificates and investor-ready assurance.

AIGN OS Architecture — The Operating System for Responsible AI Governance

AIGN OS introduces the world’s first full-stack Agent Governance System — built for AI agents that write code, call APIs, move money and coordinate other agents.

  • Lifecycle governance: design → deployment → monitoring
  • Agentic AI: 7-stage constitutional kernel for every agent
  • One OS. One logic. One global architecture.
  • Certifiable — not just compliant
DOI: 10.5281/zenodo.19450612 · Upmann, P. (2026) · v1.0

AIGN EOS — Education Operating System

The first operational, auditable and certifiable governance architecture for educational AI — globally applicable, legally grounded. Built for trustworthy AI decisions affecting children.

7OS architecture layers
3Trust Label levels
12EDR data fields
2027EU AI Act deadline
Three realities that apply right now — in every classroom
1

No audit trail

When an AI decision disadvantages a student, no school without an EDR can document how that decision was reached — or defend it.

2

No liability basis

Without auditable decision records, there is no legal foundation to challenge or correct a flawed AI recommendation affecting a child.

3

No systemic protection

Algorithmic bias accumulates silently — without equity monitoring, structural discrimination becomes educational infrastructure.

EOS Architecture

7-layer operational governance for educational AI.

1

Trust & Certification Layer

Education Trust Labels (Level 1–3), DOI-verified registry entries and auditable governance signals for schools and universities.

2

Legal Compliance Layer

EU AI Act high-risk alignment (2027 deadline), GDPR, UN Convention on the Rights of the Child — integrated into operational controls.

3

Maturity Assessment (ASGR-EDU)

Systemic Governance Readiness benchmarking adapted for educational institutions — from initial adoption to certified maturity.

4

EDR — Educational Decision Record

Auditable, 12-field documentation schema for every AI-influenced decision affecting students. The evidentiary backbone of EOS.

5

CRIA — Child Rights Impact Assessment

Structured pre-deployment assessment for AI systems affecting minors. Equity monitoring, bias detection and redress pathways built in.

6

Organisational Interface

Connects governance to school leadership, teachers, IT, data protection officers and board — with clear accountability roles.

7

Trust Kernel — Children’s Rights Foundation

Normative core: non-discrimination, developmental appropriateness, human oversight and the best interests of the child as primary governance constraint.

The EU AI Act deadline
2027
High-risk classification applies

Educational AI systems affecting access, assessment or progression are classified high-risk under the EU AI Act. Obligations are live.

Now
Architecture must be in place

Conformity assessment, documentation, transparency and human oversight requirements cannot be retrofitted. They must be built now.

EOS
The only ready architecture

AIGN EOS is the first — and currently the only — operational governance architecture built specifically for this regulatory context.

Education Trust Label Levels
Level 1

Committed

Policy in place. Governance intention declared and documented.

Level 2

Operational

EDR active. CRIA conducted. Evidence-based governance practice.

Level 3

Certified

Full audit readiness. DOI-verified. Publicly defensible maturity.

DOI: 10.5281/zenodo.19450612 · Upmann, P. (2026) · AIGN EOS v1.0 · All Rights Reserved
Scientific prior art, DOI-registered and IP-protected. Access the paper ↗
AIGN Circle

The human accountability layer.

Governance cannot be automated end-to-end. At the decisive moment — under audit, escalation, incident or board pressure — frameworks reach their limits. AIGN Circle is where human accountability becomes operative.

Curated · Not open

A controlled global reference — not a marketplace.

AIGN Circle connects organisations with governance-ready AI professionals who can exercise judgment, assume responsibility and stand behind decisions in complex, regulated environments. Curated, contextual and discreet — not visible, not generic, not for sale.

For Organisations

Controlled access to governance-ready professionals when human accountability must be assured.

For Professionals

Legitimate positioning and contextual access — without self-promotion or market noise.

Explore AIGN Circle
Responsibility

Judgment over process.
Accountability over delegation.

Responsibility within AIGN Circle is defined not by framework alignment — but by governance maturity, independence of judgment and the ability to assume personal accountability for AI decisions.

  • Responsibility over frameworks
  • Judgment over process
  • Accountability over delegation
  • Decision-activated, not exploration-driven
Access · Controlled

Curated. Contextual. Discreet.

Professionals are introduced based on relevance and judgment — not reach, branding or self-promotion. AIGN Circle avoids market noise, prevents commoditisation of expertise and protects reputations on all sides.

  • Curated, not open access
  • Contextual, not generic matching
  • Discreet, not publicly visible
Engineered Trust

AIGN Circle is the human accountability layer of AI governance.

It exists where generic consulting models reach their limits. Where liability is personal. Where a decision must be defended — not delegated to a framework or an AI system.

Trust within AIGN Circle is not asserted through claims or visibility. It is engineered through structure, curation and restraint.

Explore Circle membership
AIGN Academy

The global education infrastructure
for responsible AI.

Programs & Licenses

The AIGN Academy translates regulation into measurable human and institutional capability — through certified individuals, institutions and organisations. Not a course marketplace. Global education infrastructure.

Student & Research Track

For enrolled students and PhD researchers worldwide.

190 €Academic

Education Trust Label EOS

For schools and universities integrating auditable AI governance via AIGN EOS — CRIA, EDR and EU AI Act 2027 readiness included.

On
requestInstitutional

Corporate Trust Label

For enterprises and public bodies committed to auditable, certifiable AI governance.

On
requestCorporate
All licenses include lifetime access to AIGN Academy materials, ASGR readiness benchmarking and annual renewal options. Apply: message@now.digital
How to join
1

Apply online

Send your interest to message@now.digital — applications reviewed continuously.

2

Receive admission confirmation

Early cohorts gain priority access to new modules and pilot programs.

3

Start learning

Access modules via the AIGN Academy platform — built on the 7-layer AIGN OS curriculum.

4

Submit evidence & complete validation

Produce audit-grade governance artefacts. Trust is earned through evidence, not attendance.

5

Get certified

Receive your digital AIGN Trust Label and Registry entry — DOI-verified, globally comparable.

What it is not

Not a course marketplace. Not a skills bootcamp. Not AI ethics awareness training. Not a consulting program.

The AIGN Academy is the institutional learning system of the AI age — built to close the gap between regulation and real-world capability.

Visible outcome

Governance that can be seen
and defended.

Trust Labels are the certifiable outcome of the AIGN journey. They translate governance maturity into a public, DOI-verified signal — not a badge of intention, but proof of demonstrated, auditable competence.

Assess Architect governance Build capability Submit evidence Get certified Trust Label issued
Education · EOS

Education Trust Label

Visible accountability for schools and universities using AI responsibly. Designed for institutions where trust must be proven to students, parents, staff and regulators — not merely declared. Powered by AIGN EOS.

  • DOI-registered certification entry
  • EDR and CRIA governance embedded in institutional practice
  • Aligned with EU AI Act high-risk obligations (2027)
  • Renewable annual trust credential
  • Visible public signal of governance maturity
Explore Education Trust Label
Corporate

Corporate Trust Label

Certified proof of responsible AI governance for organisations. An auditable, investor-ready signal that governance is operational — not a policy document, but a living, verifiable system.

  • SAIGF Maturity Certificate included
  • Annual AI Governance Statement framework
  • Board-level and regulatory oversight embedded
  • Aligned with EU AI Act, ISO 42001, NIS2, DORA
  • Renewable DOI-verified trust credential
Explore Corporate Trust Label
Global ecosystem

Governance at
global scale.

AIGN is backed by a connected community of governance professionals, regional ambassadors and institutional leaders — locally anchored, globally interoperable. Not isolated theory. Active infrastructure.

Explore the network
2,000+Members across the global network
50+Countries connected through the ecosystem
30+Ambassadors and regional leaders
4Active regional hubs

Start where it matters.

Whether you need board-level defensibility, regulatory readiness, institutional capability or visible trust certification — begin in under 10 minutes.