From global regulation to a systemic blueprint for Responsible AI Governance
Patrick Upmann is the architect of the world’s first AI Governance Operating System (AIGN OS).
His work addresses a structural gap faced by boards, regulators, and executives worldwide:
AI regulation exists — but governance fails precisely where it must hold under audit, incidents, and liability exposure.
Patrick does not interpret regulation in isolation. He translates global AI rules — from the EU AI Act to ISO/IEC 42001— into operational governance architectures that create decision authority, admissible evidence, and systemic trust. His focus is infrastructure: governance that holds when it is tested.
Building the world’s first AI Governance OS
The AIGN OS is the backbone of Responsible AI Governance. It is a seven-layer governance architecture that connects regulation, standards, organisational culture, and trust infrastructure into a single, certifiable system. Designed to be audit-ready and defensible, it provides organisations with a systemic blueprint for governing AI across industries and jurisdictions.
The architecture addresses a simple reality:
AI governance will no longer function as informal policy, fragmented controls, or delegated responsibility. Certified, system-level governance will become a prerequisite for operating AI at scale.
Measuring AI Governance readiness with the ASGR Index
Patrick is also the creator of the AIGN Systemic Governance Readiness (ASGR) Index, the world’s first benchmark for AI governance maturity.
From Global-ASGR to sector-specific indices for finance, healthcare, and energy, the ASGR Index makes governance readiness measurable, comparable, and visible — beyond policies, intentions, or self-assessments.
The Index answers questions organisations typically avoid:
- Where does our governance actually hold?
- Where are we exposed?
- What does “being prepared” mean under real scrutiny?
Why this matters for your keynote
Patrick’s work is not about ethics slogans, technology optimism, or abstract principles.
It delivers a governance blueprint.
Grounded in scientific publication (SSRN), global regulatory discourse (TRT World Forum), and real-world system validation (first AI Education Trust Label in Seoul), his architecture equips leaders with:
- shared governance terminology
- structural clarity
- and concrete pathways to operationalise Responsible AI
The outcome is not inspiration — but structural preparedness.
Architectural principle
If governance needs to be reconstructed after the fact, it never existed.
Patrick’s role is to ensure that AI governance exists before it is tested — and holds when it is.