AI Management Systems & Governance – AIMS according to ISO/IEC 42001
AI Management Systems & Governance – AIMS according to ISO/IEC 42001
Managing artificial intelligence in a structured way – responsibly, transparently, and future-proof.
With the increasing use of artificial intelligence, the requirements for governance, transparency, and risk assessment are also growing. Organisations face the challenge of managing the use of AI systems not only technically, but also in an organisationally and regulatorily structured way.An Artificial Intelligence Management System (AIMS) according to ISO/IEC 42001 provides a clear framework for this.
Assessment and Preparation
The starting point is the question of how AI is used within the organisation and what requirements arise from this.Together, we examine which AI systems are already in use, what risks exist, and how these are currently managed. At the same time, we assess which regulatory requirements – for example in the context of the EU AI Act – are relevant.This provides a clear picture of the current situation and the most sensible next steps.
Establishing an AIMS
The establishment of an AIMS proceeds in a structured manner and is aligned with the requirements of ISO/IEC 42001.At the centre is the development of a governance structure for the responsible use of AI. This includes defining roles, processes, and policies, as well as building a transparent approach to AI systems and their risks.A key component is the structured and systematic consideration of risks – for example with regard to erroneous decisions, biases, or unexpected outcomes. These are captured, assessed, and linked to appropriate measures in a structured way.
Integration into Existing Management Systems
In many cases, an information security management system (ISMS) is already in place. An AIMS can build on this and meaningfully extend existing structures.For example, risk management, measure tracking, or reporting structures can be reused and supplemented with AI-specific aspects. Existing governance processes can also be extended accordingly.This does not create a parallel system, but an integrated management structure that covers both information security and AI governance.Further information: Information Security Consulting
Preparation for Certification and Audit
One possible goal is to prepare the organisation for certification according to ISO/IEC 42001.To this end, the current level of maturity is analysed and existing gaps are identified. On this basis, a well-founded decision on certification can be made.Certification can be a clear competitive advantage. It demonstrates that the use of artificial intelligence is managed in a structured way, risks are actively addressed, and requirements are implemented in a transparent manner – thereby building trust with customers, partners, and regulatory authorities.Especially in the context of growing regulatory requirements and increasing expectations around the responsible use of AI, this is becoming an increasingly important differentiating factor in the market.Where certification is the goal, structured preparation for the audit is provided – from preparing the documentation to accompanying the entire certification process.Further information: Certification Support
Further Development and Operations
With the establishment of an AIMS, the first step is taken – however, continuous further development is crucial.AI systems change, new use cases emerge, and regulatory requirements continue to evolve. Accordingly, governance must also be continuously adapted.Support can be provided flexibly – for example in assessing new AI systems, developing processes further, or integrating additional requirements into existing structures.This creates a sustainable foundation for the responsible and controlled use of artificial intelligence.
Ready for the future?
Schedule an appointment //
With the increasing use of artificial intelligence, the requirements for governance, transparency, and risk assessment are also growing. Organisations face the challenge of managing the use of AI systems not only technically, but also in an organisationally and regulatorily structured way.An Artificial Intelligence Management System (AIMS) according to ISO/IEC 42001 provides a clear framework for this.
Assessment and Preparation
The starting point is the question of how AI is used within the organisation and what requirements arise from this.Together, we examine which AI systems are already in use, what risks exist, and how these are currently managed. At the same time, we assess which regulatory requirements – for example in the context of the EU AI Act – are relevant.This provides a clear picture of the current situation and the most sensible next steps.
Establishing an AIMS
The establishment of an AIMS proceeds in a structured manner and is aligned with the requirements of ISO/IEC 42001.At the centre is the development of a governance structure for the responsible use of AI. This includes defining roles, processes, and policies, as well as building a transparent approach to AI systems and their risks.A key component is the structured and systematic consideration of risks – for example with regard to erroneous decisions, biases, or unexpected outcomes. These are captured, assessed, and linked to appropriate measures in a structured way.
Integration into Existing Management Systems
In many cases, an information security management system (ISMS) is already in place. An AIMS can build on this and meaningfully extend existing structures.For example, risk management, measure tracking, or reporting structures can be reused and supplemented with AI-specific aspects. Existing governance processes can also be extended accordingly.This does not create a parallel system, but an integrated management structure that covers both information security and AI governance.Further information: Information Security Consulting
Preparation for Certification and Audit
One possible goal is to prepare the organisation for certification according to ISO/IEC 42001.To this end, the current level of maturity is analysed and existing gaps are identified. On this basis, a well-founded decision on certification can be made.Certification can be a clear competitive advantage. It demonstrates that the use of artificial intelligence is managed in a structured way, risks are actively addressed, and requirements are implemented in a transparent manner – thereby building trust with customers, partners, and regulatory authorities.Especially in the context of growing regulatory requirements and increasing expectations around the responsible use of AI, this is becoming an increasingly important differentiating factor in the market.Where certification is the goal, structured preparation for the audit is provided – from preparing the documentation to accompanying the entire certification process.Further information: Certification Support
Further Development and Operations
With the establishment of an AIMS, the first step is taken – however, continuous further development is crucial.AI systems change, new use cases emerge, and regulatory requirements continue to evolve. Accordingly, governance must also be continuously adapted.Support can be provided flexibly – for example in assessing new AI systems, developing processes further, or integrating additional requirements into existing structures.This creates a sustainable foundation for the responsible and controlled use of artificial intelligence.
Ready for the future?
Schedule an appointment //
André Scherwinski
Your independent advisor for information security.
André Scherwinski | Sollschwitz 66A | 02997 Wittichenau
André Scherwinski | Sollschwitz 66A | 02997 Wittichenau