Artificial intelligence (AI) is revolutionising the business processes of many companies. This brings both new opportunities and risks, particularly in terms of transparency, security and legal compliance. It is critical that organisations act now to adapt their AI management to the latest regulatory and market developments.
Governance creates security – when it is well thought out
Without clear rules, defined responsibilities, and documented decisions, there is a risk of data breaches, system errors, and regulatory sanctions. 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 tailored to the specific company and embedded in concrete, practical processes—with a view to industry-specific requirements and strategic priorities.
The Trusted AI Framework - Guidance for responsible AI use
To support companies in managing AI processes, we have developed the Trusted AI Framework: a practical model that systematically embeds ten principles such as fairness, transparency, and environmental responsibility into governance structures. It includes company-wide guidelines for the use of AI, structured risk management, traceable documentation, and training opportunities for specialists and managers. Technical integration can be carried out directly via existing platforms such as ServiceNow.
Implementing AI governance with 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 automated control of processes.
Strategic orientation with the AI Target Operating Model
We have developed the AI Target Operating Model for effective management of AI initiatives. It precisely defines roles, processes, and control variables, 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 practical implementation.
KPMG supports you throughout the entire AI lifecycle
From maturity analysis and the development of company-specific guidelines to technical implementation, we support your company in all phases of AI governance. This includes:
- Ready-made Trusted AI Agents for quick application
- Integration of governance processes via the ServiceNow platform
- A quick check for structured assessment of your current situation
Now is the right time for reliable AI governance
If you want to use artificial intelligence strategically, you need control, structure, and accountability. Our experts support you with a tried-and-tested governance model and implementation that integrates seamlessly into your organization—well-founded, scalable, and sustainable.
