AISM Internal Audit

Internal audit evaluates whether the AI Service Management System conforms to requirements and operates effectively.

AI governance cannot be trusted if audit evaluates only model artifacts. AISM audit must evaluate the service system: owners, controls, evidence, HRSM inheritance, DISM inheritance, human oversight, impact assessment, data controls, supplier responsibility, monitoring, management review, and improvement.

This topic connects AISM Control Evidence and Audit Model, Audit Evidence, Evidence Sufficiency, Finding Classification, Nonconformity, Corrective Action, AISM Management Review, and Continual Service Improvement.

A Management Advisor should recommend audit actions when a high-risk AI service has no audit history, evidence is insufficient, findings recur, corrective actions are overdue, or HRSM/DISM inheritance is not tested.