EU data protection-compliant AI infrastructure setups
AI is changing how companies work. For this to become more than individual tools and isolated experiments in day-to-day practice, a clear infrastructure is needed: suitable applications, usable data and rules for collaboration. We help companies, especially SMEs, build an AI infrastructure that is aligned with European data protection requirements and works for the team.
Start onboarding- We analyse your starting point and select suitable AI tools for your tasks and ways of working.
- We prepare data and existing systems so that they can be used for the selected applications.
The resultYou receive a documented AI infrastructure with clear workflows, rules and roles for collaboration within the team.
























The advantage of EU data protection-compliant AI infrastructure setups with Digiknall
AI offers companies an increasing number of opportunities. At the same time, it gains access to ever more valuable information: internal documents, customer data, work processes and knowledge from the team. AI needs rules for this. Many companies currently test individual applications without clarifying which tools are truly suitable, which data may be processed there and how the team works with the results. This quickly leads to differing processes, uncertain decisions and knowledge that remains tied to individual people or tools. We help companies, and SMEs in particular, build an AI infrastructure that is aligned with European data protection requirements and suits their own way of working. To achieve this, we select suitable tools, prepare data for these applications and develop clear rules for use within the team. The advantage: AI is not simply introduced as an additional element. It is translated into your existing ways of working and used where it can genuinely provide support in day-to-day work.
What we develop in the EU data protection-compliant AI infrastructure setup
The right tool landscape
We assess which AI applications suit your tasks, data and existing systems. The aim is not to introduce as many tools as possible. We focus on the applications that serve a specific purpose in your work. You receive a transparent recommendation for your AI tool landscape and the most important areas of use.
A foundation aligned with European data protection requirements
AI applications can access sensitive company and customer data. That is why, when selecting and setting them up, we take into account which data is processed and which requirements apply. We align the infrastructure with European data protection requirements and create a clear foundation for handling data and AI applications. This service does not replace individual legal advice.
Data that can be used for AI
AI can only work with data that it can read, classify and process meaningfully. That is why we look at where relevant information is stored and how it is currently structured. We prepare the data for the selected applications and create a usable foundation for the planned AI workflows.
Clear AI workflows
A tool alone does not change a work process. That is why we develop specific processes for using AI in your company. Among other things, we clarify: Which tasks will use AI? Which information may be processed? Who works with which tool? How are results checked? Where does the final decision remain with people? How are results reused within the team? This turns individual tests into a transparent workflow.
Collaboration within the team
An AI infrastructure only works if the team knows how to work with it. That is why we create a shared understanding of roles, responsibilities and rules. We support the implementation, explain the new processes and help the team use AI meaningfully and consistently in their day-to-day work.
Implementation and support
We do not just support you with the concept. Depending on the starting point, we configure the selected AI tools, set up workflows, structure data and support the team during implementation. This ensures that the setup does not remain on paper, but becomes part of day-to-day work.
The result is a documented and comprehensible foundation for using AI in your company: a suitable tool landscape infrastructure aligned with European data protection requirements prepared data for the selected applications defined AI workflows and use cases clear rules for working with company data a team setup with transparent roles and ways of working This enables you to use AI more purposefully and continue working on a shared foundation. No longer does each person in the team have to work out for themselves which tool is used when and how.
How the EU data protection-compliant AI infrastructure setup works
Analyse the starting point
We look at how you work today, which tools are already in use and where relevant data is held. Together, we identify tasks where AI can provide meaningful support. To do this, you give us insight into existing ways of working, systems and requirements. This creates a clear foundation for further planning.
Evaluate tools and requirements
Based on the analysis, we assess which AI tools suit your tasks and conditions. We also take into account requirements relating to data protection, data access and collaboration within the team. The result is a well-founded selection of suitable tools and areas of application.
Prepare data and systems
We clarify how your data can be structured and made usable for the selected applications. We also assess how existing data sources and systems can be integrated into the planned AI infrastructure. This creates a practical technical and organisational foundation for the next steps.
Develop AI workflows
We translate the selected tools into concrete workflows. In doing so, we define how AI is used within the team, which tasks it supports and at which points results are reviewed. The workflows are based on your actual tasks, rather than on the capabilities of a single tool.
Set up tools and workflows
We configure the selected applications and set up the agreed workflows. Depending on the setup, we also structure data for this purpose and transfer it to the designated systems. The client receives a usable foundation that enables the team to get started in their day-to-day work.
Document the infrastructure
We clearly document the developed tool landscape, the key rules and the intended ways of working. This makes it clear how your AI infrastructure is structured and how new team members can work with it later on.
Support the team
We introduce the team to the new processes and create a shared understanding of how to use the AI applications. This also involves the question of how you will further develop the infrastructure after implementation and adapt it to new requirements.
Here’s how we make an impact
Onboarding
Complete a short questionnaire so we can prepare for our conversation.
10 minutesDiscovery call
We meet online to get to know each other and show you what social media campaigns could do for your business.
30 minutesProposal
If we’re a good fit, you’ll receive a proposal tailored to your situation.