Artificial Intelligence Management System Certification Audits
An evaluation of the management system governing the organisation’s development, provision or use of artificial intelligence. Audits examine how responsibilities, risks, impacts and lifecycle controls are managed within the…
- Category
- Certification Audits
- Delivery region
- Saudi Arabia, GCC and MENA
Key requirements — selected themes
- AI governance, policy and organisational responsibilities
- AI risks, opportunities and impact assessment
- AI system lifecycle and data-related controls
- Resources, competence and relevant third-party controls
- Communication and documentation of AI activities
- Monitoring, evaluation and continual improvement
High-level summary
An evaluation of the management system governing the organisation’s development, provision or use of artificial intelligence. Audits examine how responsibilities, risks, impacts and lifecycle controls are managed within the stated scope.
Certification provides independent recognition of AI management system conformity. It is not certification of an individual model’s accuracy, fairness, safety or suitability, and does not replace product-specific evaluation or applicable regulatory obligations.
Third-party certification pathway
References: [S15] · [G01] · [G02] · [G03]
- Application & scope. Define AI roles, systems, use cases, lifecycle activities and the proposed organisational scope.
- Review & audit planning. Confirm eligibility, impartiality, competence and applicable rules; agree scope, audit time and programme.
- Stage 1 — readiness. Review AI governance, risk and impact assessments, control selection and evaluation readiness.
- Stage 2 — implementation. Evaluate selected lifecycle activities, data controls, supplier interfaces and implementation evidence.
- Nonconformity resolution. Review corrections and corrective actions; verify closure or accept action plans as the applicable rules require.
- Independent certification decision. A competent function independent of the audit evaluates the evidence; certification is issued only when requirements are met.
- Surveillance. Review changed AI uses, impacts, incidents, monitoring results and the continuing management response.
- Recertification. Reassess the system before certificate expiry and complete the required review and decision for a new cycle.
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