Rewired

Services · Data & AI integration

First clean data, then AI.

AI working with chaotic spreadsheets produces chaotic results. We first build the data foundation, with one source of truth for all your numbers, then add AI systems that work in day-to-day operations.

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Sound familiar?

  • Every tool shows different numbers, and nobody knows which are correct
  • Customer data spread across the shop, Excel, email tools and phones
  • AI projects fail because the data foundation is missing
  • Uncertainty about whether AI can be used in compliance with GDPR

What we build to solve it.

  • Data warehouses as a single source of truth, built incrementally and hosted on your infrastructure
  • Reliable pipelines from shop, marketing and accounting systems
  • AI systems on this foundation: analytics, assistants and automations
  • GDPR-compliant architecture: EU hosting, data processing agreements and a replaceable AI model

In practice: For a publisher with shops in Germany and Switzerland, we are building a central data warehouse as the foundation for reliable marketing and AI.

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Frequently asked questions about Data & AI integration.

Why build a data warehouse before adding AI?

AI is only as good as its data. A model working with contradictory spreadsheets produces convincing but incorrect answers. A central, reliable data source makes AI analysis and assistants dependable.

Is using AI compatible with GDPR?

Yes, with the right architecture: EU hosting or your own infrastructure, data processing agreements, data minimisation and human approval for critical decisions. This is how we build every system.

Which cloud do you use?

The one that fits your business: Google Cloud, Azure or your existing infrastructure, always in EU regions. The architecture stays provider-independent so you can switch at any time.

Will we depend on a single AI provider?

No. We build model-agnostic systems: the language model (OpenAI, Anthropic, Google or open source) is a replaceable component. Your data, prompts and workflows belong to you.

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