Digital sovereignty: How companies operate in the IT lifecycle

Digital sovereignty is a central aspect of the IT strategy of modern companies. It refers to the ability to control their own data and IT infrastructures independently of external providers. In the age of increasing dependence on cloud services and global networks, the ability to access their own systems is becoming increasingly important. Especially in crisis situations, such as failures of cloud services due to sanctions, it shows how crucial digital sovereignty can be for business continuity. Companies that have their own IT infrastructure under control are able to react faster to changes and keep their data safe. This is not only a question of security, but also a strategic decision that strengthens the resilience and flexibility of a company in the long term.

The modernization of IT systems is another key area where digital sovereignty plays a role. Many companies face the challenge of modernizing legacy systems without losing their control over the data and processes. AI agents and modern development approaches such as domain-driven design and spec-driven development can play an important role here. They make it possible to transform systems step by step without relying on external dependencies. At the same time, they help make AI projects more efficient while maintaining control over the data and processes. The integration of such technologies is therefore not only a technical project, but also a strategic decision for digital sovereignty.

Another aspect that affects digital sovereignty is the infrastructure on which IT systems run. The planning of a common mobile satellite network by European providers shows how companies are trying to reduce their dependence on global providers such as Starlink. This is an example of how digital sovereignty is also relevant in the area of communications and mobile communications. Companies building their own infrastructure can not only retain control over their data, but also rely on local and regional solutions. This is especially important in times of global uncertainty and political tensions.

The challenge in AI projects is often less technical, but lies in the organization and integration of the technology into existing processes. 85 percent of AI projects fail not because of technology, but because of organizational difficulties. This underlines the importance of a structured approach that requires not only technical skills but also organizational competencies. Digital sovereignty plays a role here, as it forms the basis for a sustainable and controlled integration of AI into business processes.

## What this means for users xyn’s self-hosting infrastructure, combined with secure communication and data processing capabilities, helps users keep their IT systems fully under control.