Definition, Four Levels, and a Practical Checklist
Digital sovereignty is often reduced to data protection, European server operations, or open source. These topics are important. However, for companies, they fall short.
A company can store its data in a European data center and still be completely dependent on a single provider. It can view source code and still not be able to operate the application itself. It can export data and lose the professional context in the process.
Therefore, digital sovereignty does not mean developing everything yourself or becoming completely independent of external partners.
A company is digitally sovereign when it retains real options for action with important data, processes, technologies, and knowledge assets.
Sovereignty is thus not an absolute property. It is a conscious balance between speed, collaboration, and control.
Digital Sovereignty is Not Digital Autarky
No company develops every software itself. Even having its own server does not automatically make an organization independent. Operating systems, libraries, cloud services, interfaces, and external service providers remain part of the digital value chain.
Complete autarky would be neither realistic nor economical for most companies.
Digital sovereignty pursues a different goal: dependencies should be known, controllable, and changeable in case of emergency.
A sovereign company can, for example:
- Fully utilize and transfer data,
- Further develop processes itself or with another partner,
- Understand central technical dependencies,
- Change the operating model,
- And retain experiential knowledge independently of individual people or applications.
It’s not about managing without partners. It’s about being able to choose partners freely and informed.
Why the Topic is Becoming More Important for Companies
Business software is taking on more and more responsibility. Applications no longer just manage data sets. They structure decisions, dictate workflows, evaluate information, and trigger automated actions.
With the use of AI, this influence increases. Assistants summarize conversations, generate documentation, recommend next steps, or prioritize processes.
This also increases the risk of unilateral dependency:
- Data is in proprietary formats.
- Professional logic is only usable within a platform.
- Interfaces are technically available but economically limited.
- Adjustments depend on the roadmap of a single manufacturer.
- Knowledge is distributed across many separate applications.
Digital sovereignty is therefore not just an IT topic. It affects investment security, competitiveness, and the ability to further develop one’s own processes.
The Four Levels of Digital Sovereignty
A single yes-no question is not enough for practical evaluation. From our work with industrial companies, we consider four levels: data, processes, technology, and knowledge.
1. Data Sovereignty
Data sovereignty describes the ability to decide on the use, sharing, and further processing of one’s own data.
This includes questions such as:
- Where is the data stored?
- Who is allowed to use it?
- Can it be fully exported?
- Are relationships, histories, and permissions retained?
- Can data be combined with other sources?
- Is it traceable which AI models or services process it?
A pure table export is often not enough. If relationships between systems, documents, processes, and events are lost, a data set remains, but no usable information model.
True data sovereignty therefore means not only access to raw data. The professional context must also be preserved.
2. Process Sovereignty
Software not only maps processes. It shapes them.
Status models, mandatory fields, roles, and approvals determine how work is executed. This can be helpful if processes are standardizable. It becomes problematic if one’s own process logic represents a competitive advantage.
Process sovereignty means being able to consciously decide:
- Which processes do we standardize?
- Which peculiarities create real value?
- Which automations can departments change themselves?
- Which adjustments require the provider?
- How quickly can a process be adapted to new requirements?
Companies do not need complete freedom for every process. However, they should know where a restriction is acceptable and where it becomes a strategic risk.
3. Technology Sovereignty
Technology sovereignty begins with transparency.
Companies should understand which components their application depends on. This includes cloud services, databases, AI models, programming languages, proprietary interfaces, and individual service providers.
Important questions are:
- Are interfaces and data models documented?
- Can another partner develop extensions?
- Is an alternative operating model possible?
- Which components are proprietary?
- What rights exist to the source code?
- What happens at the end of the contract?