ADVISORY · AI ASSURANCE

Move from AI governance claims to defensible evidence.

Assurance asks a different question from governance design: are the controls actually operating, can they be evidenced, and would an independent reviewer reach the same conclusion? That discipline becomes more important as AI systems gain autonomy and business impact.

ANSWER FIRST

What this advisory addresses.

Assurance asks a different question from governance design: are the controls actually operating, can they be evidenced, and would an independent reviewer reach the same conclusion? That discipline becomes more important as AI systems gain autonomy and business impact.

EXECUTIVE QUESTIONS

Questions the engagement should resolve.

Can governance decisions be traced to evidence?

The objective is a decision that can be explained, implemented and evidenced—not a generic maturity score.

Do lifecycle controls operate consistently across AI use cases?

The objective is a decision that can be explained, implemented and evidenced—not a generic maturity score.

Are risks, exceptions and corrective actions recorded and owned?

The objective is a decision that can be explained, implemented and evidenced—not a generic maturity score.

Is the management system ready for internal or external scrutiny?

The objective is a decision that can be explained, implemented and evidenced—not a generic maturity score.

TYPICAL OUTCOMES

Useful outputs, not shelfware.

Scope is tailored to the decision and operating context. Typical outcomes include:

  • AI control assessment and evidence map
  • ISO/IEC 42001 readiness view
  • Control gaps and corrective-action priorities
  • Audit-oriented evidence requirements
  • Leadership assurance narrative

ENGAGEMENT OPTIONS

Focused ways to engage.

AI governance assurance review

Independent analysis, challenge and practical recommendations aligned to the business context.

ISO/IEC 42001 readiness assessment

Independent analysis, challenge and practical recommendations aligned to the business context.

AI control design and operating-effectiveness review

Independent analysis, challenge and practical recommendations aligned to the business context.

Evidence and auditability assessment

Independent analysis, challenge and practical recommendations aligned to the business context.

Independent challenge for high-impact AI

Independent analysis, challenge and practical recommendations aligned to the business context.

CONNECTED EXPERTISE

Related perspectives.

RESEARCH

Independent analysis on AI assurance, auditability and ISO/IEC 42001.

The research library is published separately under /research/ using WordPress.

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INDEPENDENT ADVISORY

Complex technology. Clearer risk decisions.

For AI strategy, governance, Agentic AI, security, assurance or cyber-risk requirements, describe the decision you are facing and the context around it.

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