Governance and compliance for AI - centrally controlled with the ServiceNow AI Control Tower

More than half of companies in Germany already use AI-based applications (source). However, so far only a small proportion have established a reliable governance structure for these corresponding systems, which harbours operational, regulatory and ethical risks.

The European AI Act and comparable regulations worldwide leave no doubt: companies should manage their use of AI now - not just technically, but also ethically, organisationally and in terms of regulation.

Without clear rules, defined responsibilities and documented decisions, data protection breaches, system errors and regulatory sanctions are imminent. Standards such as ISO 42001, the risk management framework for artificial intelligence from the National Institute of Standards and Technology (NIST) and the COBIT model provide guidance. These standards only become effective when they are specifically tailored to the respective company and embedded in concrete, practical processes - with a view to industry-specific requirements and strategic priorities.

To support companies in managing AI processes, we have developed the Trusted AI Framework: a practical model that systematically anchors ten principles such as fairness, transparency and environmental responsibility in governance structures. It includes company-wide guidelines for the use of AI, structured risk management, comprehensible documentation and training programmes for specialists and managers. Technical integration can take place directly via existing platforms such as ServiceNow.

We rely on the ServiceNow platform for the operational implementation of AI governance. All models can be centrally recorded, systematically classified and evaluated there. Intuitive dashboards show the current status of all applications at a glance. The platform integrates seamlessly into existing business processes and enables complete documentation and the automated control of processes

We have developed the AI Target Operating Model for the effective management of AI initiatives. It precisely defines roles, processes and control parameters, creates clear governance structures and anchors AI processes in the existing IT landscape. At the same time, it maps the entire life cycle of models and data. Accompanying training courses promote the necessary technological understanding and strengthen implementation in practice.

We support your company in all phases of AI governance, from the maturity analysis to the development of company-specific guidelines and technical implementation. This includes

• ready-made Trusted AI Agents for rapid application
• the integration of governance processes via the ServiceNow platform
• a quick check for a structured assessment of the current situation

If you want to use artificial intelligence strategically, you need control, structure and responsibility. Our experts will support you with a tried-and-tested governance model and an implementation that integrates seamlessly into your organisation - sound, scalable and sustainable.