AI governance & ISO/IEC 42001
Turn AI opportunities into owned, traceable and reviewable initiatives.
AI governance works when it is part of daily delivery, not a document stored for audit day. We translate ISO/IEC 42001 into a practical operating system for opportunity intake, prioritization, ownership, risk and impact review, human oversight, evidence, issues and management review.
- Collect and prioritize AI opportunities against business value, feasibility and risk.
- Assign an accountable owner, decision rights and human-oversight points.
- Record data sources, risks, impacts, controls and applicability decisions.
- Keep issues, evidence, approvals and management review in one traceable flow.
- AI opportunity and pain-point intake
- Owners, data sources and decision workflows
- Risk, impact and control requirements
- AI initiative register and governance workflow
- Risk and impact review with human oversight
- SoA, issue records, audit evidence and management review
Organizations moving from scattered AI experiments to a governed portfolio of initiatives.
Our delivery practices define human decision ownership, source and output traceability, data boundaries, change control and review evidence.
The credential is held personally by Vincent Lin.
Have a problem like this?
Bring your messiest operational problem. We will examine fit, available evidence, the first pass/fail gate, and reasons not to proceed.
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