Evaluate your AI management system (AIMS) against ISO/IEC 42001:2023 requirements. This includes:
- Governance structure
- Risk management integration
- Documentation practices
- Audit readiness
Ensuring trust in your AI systems is essential for efficient service, customer peace of mind and retention, and continuous strong, positive brand reputation.
Our comprehensive suite of AI assurance services will help you identify gaps, strengthen governance and align with global standards and regulations. Our assessments cover management systems, technical documentation and AI life cycle processes.
Upon conclusion, we provide a detailed gap analysis report, including non-conformities and opportunities for improvement, to help ensure your readiness for certification and compliance.
Key benefits
- Ensure alliance with global AI regulations and standardsEvaluate your AI systems and processes in preparation for assessment against ISO/IEC 42001, the EU AI Act, the NIST AI Risk Management Framework (RMF) and other international standards.
- Accelerate certification readiness and reduce compliance costsIdentify critical gaps early and receive clear recommendations to streamline your path toward certification, reducing rework and resource expenditure in the later audit stages.
- Strengthen internal accountability and risk governanceGain visibility into your AI governance structure and risk management practices to foster stronger internal control, accountability and decision-making across your organization.
- Ensure customer confidence and enhance your brand reputationDemonstrate your commitment to trustworthy AI by embarking on the journey to certification.
Assess your data quality management processes for analytics and machine learning. Key focus areas include:
- Data governance
- Quality metrics
- Life cycle traceability
Identify gaps in your AI systems relative to the EU AI Act. This includes:
- Quality management system and risk management
- Fundamental rights impact assessment
- Human oversight protocols and transparency
- Robustness and cybersecurity
- Post-market monitoring
Benchmark your AI governance against the NIST AI RMF. Key focus areas include:
- Risk identification and mitigation
- Trustworthiness (reliability, accountability, explainability and fairness)
- Risk management integration with the AI life cycle
Assess your AI management system to ensure integration with:
- ISO/IEC 42001: AIMS
- ISO/IEC 23894: AI risk management
- ISO/IEC 42005: AI system impact assessment
Assess your AI and data life cycle processes against:
- ISO/IEC 5338: AI system life cycle
- ISO/IEC 8183: Data life cycle framework
Ensure your technical documentation meets the requirements of:
- EU AI Act annexes IV, XI, XII
- ISO/IEC 42001
- ISO/IEC 5338 and ISO/IEC 8183
Why SGS?
As the world’s leading testing, inspection and certification company, we combine vast knowledge of AI and cybersecurity with extensive global expertise in regulatory compliance. Our gap analysis service gives you the tools to optimize your resources while ensuring that you meet the requirements of leading recognized standards.
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