AI Governance

Structured Governance for Secure and Compliant AI Use

AI is already being used productively in many organizations, whether through proprietary applications, external models, or AI capabilities embedded in existing software. With the EU AI Act, binding requirements for the use of AI systems are being introduced for the first time. At the same time, organizations are encouraged to align with standards and best practices such as ISO/IEC 42001 and the BSI criteria catalogs to ensure the responsible use of AI.

AI governance establishes the organizational and procedural foundations for the controlled use of AI. It defines responsibilities, implements risk management and control mechanisms, and provides transparency regarding deployed AI systems. This helps reduce risks, create regulatory certainty, and lay the foundation for the long-term scalable use of AI.

From AI Applicability to Robust AI Governance

AI governance is not achieved through isolated measures, but through a structured process. We support you from the initial assessment of your AI use cases through to the implementation of effective governance structures.

Stakeholder & Scope

Understand which requirements are relevant to your organization.

We begin by creating transparency around the use of AI within your organization and the requirements of relevant stakeholders. This includes considering regulatory requirements, customer expectations, internal compliance requirements, and the organization’s strategic objectives.

Based on this, we identify affected AI use cases, define the scope for further analysis, and establish a common foundation for the next steps.

Gap Analysis

Gain clarity on the state of your AI governance.

Based on the defined scope, we analyze existing processes, responsibilities, controls, and evidence. We assess your current governance framework against relevant requirements and identify existing gaps.

Depending on your objectives, we consider requirements such as the EU AI Act, ISO 42001, the BSI AI criteria catalogs, and internal organizational requirements. The result is a well-founded assessment of your current maturity level and a prioritized roadmap for further implementation.

Implementation Project

Build and embed AI governance structures.

Together with you, we implement the identified measures. We support both the establishment of a complete AI Management System (AIMS) and the implementation of individual components of your AI governance framework.

From roles and responsibility models to policies and processes, and from implementing specific requirements of the EU AI Act or ISO 42001, we integrate AI governance into existing structures.

Governance Experience for New Regulatory Requirements

The EU AI Act may be new, but effective governance structures are not.

For years, we have helped organizations translate regulatory requirements into robust processes, controls, and management systems. Information security, compliance, and governance are part of our daily business, regardless of which framework, standard, or regulatory regime defines the requirements.

We apply this experience to AI governance. We support you from initial orientation and gap analysis through to operational implementation, whether you are establishing a complete AI Management System (AIMS) or addressing specific requirements in a targeted manner.

The result is solutions that are not only compliant with regulatory requirements but can also be integrated into existing security, risk, and compliance structures while supporting the sustainable operational use of AI.

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