From regulation to defensible trust.
Patrick Upmann delivers AI Governance keynotes at the point where regulation, oversight, and accountability converge. His talks give board members, executives, regulators, and global forums decision clarity — not inspiration, but governance readiness.
The outcome is not inspiration. It is governance readiness.
Four audiences.
One language: decision clarity.
AI Governance poses different questions for different decision-makers. Patrick Upmann’s keynotes are structured for each audience to translate regulatory complexity into concrete decision points, governance priorities, and admissible evidence requirements.
AI governance under accountability
- AI Governance under liability pressure
- EU AI Act & global exposure
- Decision structures & liability
Governing AI in public systems
- Digital sovereignty & infrastructure
- Policy → implementation
- Trust as public infrastructure
Governance without legacy systems
- Local vs. imported frameworks
- AI as societal infrastructure
- Governance without institutional legacy
AI Governance as competitive advantage
- Trust as market access
- Governance operating models
- AI Governance & Marktpositionierung
Six keynotes.
One standard: decision clarity.
EU AI Act for Boards in 30 Minutes
A precise translation of the EU AI Act into board-relevant decision points — without regulatory jargon, with clear assignment of responsibilities, documentation obligations, and liability risks.
- Board obligations & risk classification
- Registry requirements
- Post-market monitoring obligations
Audit-Ready AI
Governance is only real when it survives a formal review. This keynote shows how organisations structure their policy stack, controls, and evidence packs to hold under regulatory pressure.
- Policy stack & control architecture
- Evidence packs for regulatory review
- DORA / NIS2 alignment
Responsible AI → Competitive Advantage
Organisations that structure governance early gain trust as strategic capital. This keynote shows how governance maturity translates into procurement decisions, partner trust, and customer access.
- Trust labels & procurement readiness
- Partner and customer confidence
- Governance as market positioning
ASGR Index & 48-Hour Readiness
The first global benchmark for systemic AI governance readiness — measurable, comparable, and beyond self-assessments. This keynote makes governance exposure visible and maps concrete priorities for a 90-day plan.
- Readiness score & heatmap
- Focused 90-day governance plan
- Prioritised quick wins
Education & Public Sector AI Governance
The first AI Education Trust Label in Asia was developed in collaboration with Patrick Upmann. This keynote shows how public organisations build governance frameworks that convert pilots into evidenced, scalable systems.
- Governance curricula for education systems
- Trust labels for public AI deployments
- Safeguards for public sector deployment
AI Governance 2030
How the global AI regulatory landscape will evolve through 2030 — and what organisations must decide now to secure structural advantage rather than react to it.
- Regulatory foresight to 2030
- Geopolitical governance infrastructure
- Strategic decision points today
Trusted by global
forums & institutions.
Patrick Upmann’s keynotes turn regulatory overload into board-level orientation — not awareness, but clarity on what must be decided, structured, and evidenced.
When your forum needs decision clarity.
Every keynote is adapted to the audience’s decision scope, risk exposure, and governance maturity. Patrick Upmann speaks for conferences, boards, supervisory bodies, and international institutions.
Keynote · Executive Briefing · Panel & Fireside Chat
- Conferences — high-level orientation for international audiences.
- Boards — decision clarity on liability, oversight, and evidence.
- Regulators — bridge between regulatory framework and operational reality.
- Education & public sector — governance curricula and audit-ready frameworks.
- Next step — request a confidential keynote discussion.
2026
2025
