AIGN OS 4.0 – Enterprise AI Governance

AIGN OS 4.0 — Demo Gallery

AIGN OS 4.0 · Enterprise AI Governance

Every organisation, anywhere, should be able to run AI responsibly — and prove it.

AIGN OS 4.0 — the operating system for responsible AI governance — takes any company across eight layers, from setup and classification to board-grade evidence. Nine screens from the working system.

Patrick Upmann · AIGN · Munich · message@now.digital

01 · THE PRODUCT

One operating system for enterprise AI governance.

AIGN OS 4.0 guides an organisation from company setup and AI discovery through classification, eight-layer implementation, evidence, monitoring, learning, and continuous improvement — in one place.

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02 · COMPANY SETUP

Governance starts with context, not a checklist.

Organisation type, size, industry, jurisdiction, and objective set the governance context before any AI is touched — so every later decision inherits the same accountable foundation.

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03 · CLASSIFICATION

Any AI use case, one mandatory pathway.

291 classification patterns feed a 15-step assessment. Sector, role, and jurisdiction route each system toward its regulatory pathway — Annex III high-risk surfaced early, with a confidence read on the result.

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04 · APPLICABLE LAW

Binding law and voluntary frameworks, never blurred.

Industry × business function × jurisdiction returns matched legal requirements on one side and voluntary standards on the other — so teams never mistake guidance for obligation.

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05 · OPERATING MODEL

Eight layers, translated into owned tasks.

Classification, role, industry, and applicable law become executable tasks and required evidence across all eight layers — each task with a named owner and a defined evidence output.

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06 · ENTERPRISE IMPLEMENTATION

From one use case to company-wide capability.

The rollout cockpit builds the permanent people, policy, process, control, and assurance capabilities — 32 capabilities across eight layers, anchored in board oversight.

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07 · AI LITERACY · ARTICLE 4

Literacy recorded as evidence, not a certificate.

Role-based learning paths turn legal and governance requirements into practical decisions per function — recording completion, score, and review date as evidence, without presuming compliance.

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08 · DEFENSIBLE TRUST

Six questions every board must be able to answer.

Required evidence outputs are tracked across all eight layers and assembled into one exportable Classification Evidence Bundle — the line between a policy statement and a board-grade answer.

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09 · GROUNDING & BOUNDARIES

Honest by design.

Grounded in AIGN OS 4.0. It surfaces outstanding evidence — it does not issue certifications, Trust Labels, or legal approvals, and specific EU AI Act interpretations still require current legal validation.

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See it on your own AI

Run one of your AI systems through the pathway.

A guided walkthrough on your own inventory shows exactly what evidence you can produce today — and where the gaps are. No open sandbox; a session run with you, on your systems.

Request a walkthrough →

© 2026 Patrick Upmann / AIGN · Grounded in AIGN OS 4.0, Sections 1–14

AIGN OS 4.0 screen, enlarged