The EU AI Act is the world’s first big, comprehensive rulebook for artificial intelligence. Its basic logic is simple: The more risky an AI system is, the more rules apply.

It defines four risk categories: 

Unacceptable Risk High Risk Limited Risk Minimal Risk
banned heavily controlled  transparency obligations very few requirements

The idea is to make AI safe, understandable, and trustworthy without slowing down innovation.

So… what does this mean for businesses?

  • AI needs to be explainable

    You need to understand and show how your AI reaches a conclusion.

    Explainability isn’t just a legal checkbox; it’s the foundation of building trust with customers, partners, and auditors. And explainability always starts with knowing what data went in. Data Quality Navigator helps you make your data transparent, structured, and easy to understand.

  • Data quality becomes critical

    AI can’t be reliable if the data behind it isn’t.

    The AI Act pushes companies toward data that is complete, consistent, and well-defined. If the underlying information contains duplicates, gaps, or errors, even simple AI can behave unpredictably. Data Quality Navigator helps you clean, validate, and monitor data quality continuously, so your AI rests on a solid foundation.

  • Documentation isn’t optional

    You need clarity on where your data comes from and how it changes.

    Audits, compliance checks, and internal reviews depend on clear documentation, but most organisations struggle because their data processes are scattered across teams and tools. With Data Quality Navigator, you have a central, understandable view of your data issues, resolutions, and history, making documentation far easier.

  • Responsibility shifts to the business

    Even if you didn’t build the AI, you’re accountable for how you use it.

    The AI Act makes every organisation responsible for choosing, deploying, and managing AI in a safe way and that includes ensuring the data you use is trustworthy. Data Quality Navigator gives business users the visibility they need to understand data, fix issues quickly, and confidently use AI without relying on technical experts.

AI is only as trustworthy as the data behind it.

If your data is messy, every AI system, from a simple classifier to a sophisticated assistant, becomes harder to explain, control, and defend. And that’s exactly what the EU AI Act is designed to prevent.

This is why data quality is no longer an IT side project. It’s a strategic foundation for every company that wants to use AI confidently.

Data Quality Navigator helps you build this foundation

No matter how you use AI, everything starts with the same foundation: high-quality, transparent, trustworthy data. That’s why we help you:

  • Understanding your data immediately with Profiler AI
  • Finding inconsistencies and errors with Rule Catalog
  • Cleaning data faster with automated suggestions with Sweeper AI
  • Keeping quality high over time with continuous monitoring with Monitors
  • Documenting what’s happening with full traceability
  • Making your data readable and usable even for non-technical teams with Designer AI

Because whether your AI is high risk, low risk, or no risk at all… you can’t build trust without data quality.

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