An effective audit program stays risk-based, tracks corrective actions to closure, and updates plans as AI systems, risks, and governance evolve.
Audit programs fail when they become static checklists. For ISO/IEC 42001, effectiveness depends on using risk to shape the audit plan, selecting meaningful samples, and ensuring findings lead to corrective actions that are implemented and verified.
Because AI systems and governance evolve quickly, audit programs should be periodically reviewed and updated. Tracking trends across audits—recurring gaps, control weaknesses, or governance bottlenecks—helps organizations strengthen responsible AI practices and maintain conformity over time.
Trend analysis across audits is the fastest way to move from compliance to maturity; it turns individual findings into program-level improvements.
“Audit programs create value when they drive verified improvement.”
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An AIMS helps an organization govern how AI is planned, implemented, operated, and improved so AI initiatives remain controlled, consistent, and auditable.
ISO 19011 influences audits by emphasizing risk-based planning, sampling, evidence evaluation, and consistent reporting across the audit lifecycle.
It stays effective through monitoring and measurement, internal audits, management review, and continual improvement based on nonconformities and performance insights.
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