AI Risk And Governance
Moving AI from ambition to accountable operating models: use cases, ownership, controls, monitoring, escalation, and resilience.
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Risk leadership | AI governance | Operational discipline
MBA · CAIA · ORM · RIMS-CRMP
I write about risk governance, AI risk, climate risk, energy markets, operational resilience, and the discipline required to lead under pressure.
Positioning
This site is a personal platform for public, ethics-safe thinking. It does not speak for any employer, disclose confidential information, or provide investment advice. The focus is practical leadership: how organizations build the judgment, controls, escalation discipline, and culture to operate through uncertainty.
Focus
Moving AI from ambition to accountable operating models: use cases, ownership, controls, monitoring, escalation, and resilience.
Explore topicConnecting climate signals, physical infrastructure, transition pressure, power markets, and executive decision quality.
Explore topicBuilding routines that keep risk visible before pressure arrives: evidence, challenge, ownership, and closure.
Explore topicUsing lessons from running, motorsport, USPSA, tactical games, and training to sharpen standards and execution.
Explore topicEthics Standard
This website is a personal platform for public, professional thinking. It is designed to remain consistent with corporate ethics expectations, confidentiality obligations, and the credibility required of a senior risk leader.
Read the professional standardNo employer representation, branding, endorsement, or official position is implied.
No internal systems, trades, positions, limits, P&L, counterparties, incidents, or private meetings.
No investment advice, client solicitation, political advocacy, or claims that could create professional conflicts.
Content must remain serious, evidence-aware, respectful, and suitable for senior leadership, compliance, peers, and external professionals.
Latest Thinking
Flagship article
A governance-focused article on accountability, controls, escalation, ownership, and the leadership discipline required to scale AI safely.
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