In brief
Digital sovereignty is about having control over digital systems, data and the conditions under which you use them. For an organisation, this means, amongst other things, being able to determine who has access, where processing takes place and how to switch suppliers. It is not the same as building everything yourself or never using an external service.
Why is this relevant to AI?
An AI application can utilise knowledge from documents, customer data and business processes. If the application is entirely dependent on a single external API, changes to models, terms and conditions or availability may affect your work. The key question is which dependencies you are prepared to accept and which components you can manage or replace yourself. This requires an understanding of the entire chain.
A Dutch location is one component
Having a server in the Netherlands may be important, but does not in itself guarantee full control. Management rights, contracts, the software used and any external connections also play a part. Conversely, an external service may be part of a deliberate choice offering good export options. You must assess both the location and the ability to act independently.
A practical example
An organisation stores its documents in its own environment and uses a replaceable model layer. A local model answers internal queries. For a different task, an authorised external service can be used without moving the document archive. This is one possible setup: the benefits depend on access rights, data flows and how well a transition has actually been prepared.
Which questions would be helpful?
Can you export data and configuration? Can you continue to use an older model version? Who can manage the systems if the supplier fails? What will continue to work without an external connection? Answer these questions with documentation and a brief practical test. A promise that something is independent is less useful than a demonstrable ability to continue working or to migrate.
The link to AITJE
Running AI on your own hardware or server can be a way to retain greater control. This entails responsibilities for updates, security and business continuity. You should therefore opt for a feasible setup with clearly defined roles. The aim is to enable you to use and replace the technology in an informed manner, whilst ensuring the application continues to support your work.
From concept to practice
How AITJE applies this
AITJE It identifies which parts of your AI environment you wish to manage yourself and which dependencies you are willing to accept. This might include having your own model server, transferable data and a replaceable integration. We also look at management and support: who can maintain the environment and what will continue to work if an external service changes? In this way, control becomes a concrete design choice.
View advice and analysisFrom explanation to application
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