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ISO 42001 at WorldEmp: Governance, architecture and risk insight
By: Peter van Londen, COO WorldEmp
At WorldEmp, we are committed to setting new benchmarks in the responsible use of AI. In collaboration with Matrix 3D, our teams have taken important steps towards ISO/IEC 42001 certification. As part of this journey, we are implementing a robust AI Management System (AIMS) that aligns with global best practices and regulatory expectations.
In this blog I describe our work on governance, architecture, Responsible AI Impact Assessment and risk and incident management. In my next blog, I will focus on engineering, quality, training, guardrails and data governance within the same trajectory.
ISO 42001 in practice: from engineering to data governance
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Governance and architecture
In the area of governance and architecture, we have achieved the following results:
- We have developed a comprehensive AI Implementation High-Level Architecture & Design Playbook. This links ISO 42001 requirements to practical controls, a cloud-native architecture based on technologies such as Azure, AKS, Next.js and FastAPI, and a gated AI lifecycle delivery model.
- We have set up clear governance structures, including RACI matrices and reference architectures for scalable, secure and ethical AI SaaS delivery.
Responsible AI Impact Assessment
- For our generative AI SaaS environment, we have carried out a comprehensive Responsible AI Impact Assessment:
- This assessment covers, among other things, stakeholder mapping, fairness, privacy, human oversight and risk mitigations.
- The approach is fully aligned with the Microsoft Responsible AI Standard and ISO 42001.
Risk and incident management
- Risk and incidents are structurally embedded in our AIMS:
- We have created AI Impact Assessment Registers and Risk Assessment & Treatment Templates to systematically identify, evaluate and mitigate risks. This includes risks related to bias, privacy, security, reliability, operations and regulation.
- We have implemented an Information Security Incident & Investigation Framework with AI-specific enhancements, automated reporting and root cause analysis workflows.
Our approach and principles
- Three principles are central to our approach:
- Human-in-the-loop oversight for high-impact decisions.
- Continuous monitoring, incident response and improvement cycles.
- Transparent stakeholder communication and clear disclosure of AI interactions.
Summary and what comes next
With governance, architecture, Responsible AI Impact Assessment and structured risk and incident management, we are laying the foundation for ISO 42001 at WorldEmp. Together, these elements form the framework within which we deploy AI responsibly and prepare for evolving regulation.
In roughly two weeks, my next blog will explain how we translate this approach into engineering, quality assurance, operational excellence, training, guardrails and data governance.
If you would already like to explore what our ISO 42001 approach could mean for your AI initiatives or platform, leave your details and our colleague Chris van der Deijl will contact you directly.
