Everyone wants something to do with AI. But are you really ready?

AI is hot. Everyone wants to get started with it or at least try “something”. But in practice, we at Ciphix often notice one big bottleneck: data.

Incomplete datasets. Messy SharePoints. Different formats. And documents that even humans can barely get through.

The problem is not the AI model. The problem is what you put in. Because just like cooking, mess in = mess out.

Before you can deploy AI, you have to clean up

For AI to really add value, you first need to make sure your data is ready for it. That’s why we at Ciphix developed a reusable data pipeline that data:

• clean up,
  
• validates,
  
• classifies,
  
• and enriched where possible.

This creates a solid foundation on which you can build. Whether you want to get started with AI, Low-Code, RPA or integrations.

More than just data cleansing

Our pipeline does more than “just” clean your data.

We look at structure, completeness, noise, and consistency. But AI readiness goes beyond technology. That’s why we also assess with you:

• How adoption-oriented your organization is,
  
• Whether you can cash in on the value of AI,
  
• and how great the risks are.

We combine LLM technology with rules, benchmarks and validation to deliver data that AI can really do something with.

What does that yield?

Our pipeline has now been successfully deployed in multiple projects – from document processing to forecasting.
The result:

• Less testing
• Faster time-to-value
• And above all, confidence in the outcomes

Because at the end of the day, good data is not “nice to have. It is fuel for everything you want to do with AI.

Also wondering if your data is AI-ready?

We’d love to take a look with you. One thing we can promise in advance: whatever your challenge, we’ve probably seen it before.