Insights
Guides for people who have to produce the evidence
Standards-literate writing on AI assurance practice. Every guide cites primary sources and is written for practitioners who will be asked to defend a judgement.
§ 1 — Published
AI assurance vs AI audit vs AI risk assessment: the differences that matter
Three terms used interchangeably that mean different things, have different outputs, and require different independence. A practitioner-level distinction.
ISO/IEC 42001 vs NIST AI RMF: which framework, when
One is a certifiable management system standard; the other is a voluntary risk framework. They are not alternatives, and choosing between them as if they were is the common mistake.
What is AI assurance? A practitioner's definition
AI assurance is the practice of producing credible, independently reviewable evidence that an AI system works as intended. A working definition, and how it differs from governance and compliance.