We can imagine your casual day in the office starts (and quite often ends) with never-ending PDF invoices, databases out of sync, and a disorganized shared drive.

It’s the moment in which brilliant minds with potential are occupied with copy-paste routines. Every new document format is an error and automation dreams go to waste.

But what if your overworked team could finally throw it into AI to do the heavy lifting – not just reading documents, but understanding them?

In this episode of our podcast, Andrzej Kinastowski, our Head of Delivery & Managing Partner, puts Intelligent Document Processing (IDP) in the spotlight. 

IDP is a technology that teaches computers to "read" documents the same way humans do, but faster and without complaining.

We are talking about comprehension and semantic understanding, where the simple recognition of printed text is not the end goal, but rather unstructured and semi-structured information is made accessible to automated workflows and systems.

What topics are covered in this episode?

🔸 What makes IDP such a powerful tool? 

🔸 What are the seven key stages of a typical IDP workflow?

🔸 How do we still remember about "human in the loop”?

🔸 What are the real and measurable benefits of implementing IDP into your workflow?

🔸 In which industries IDP works best?

Finally, we take a leap into the future and explore how IDP is becoming a key component of hyperautomation, the rise of multimodal IDPs, and the transformative impact of Generative AI and Large Language Models (LLMs), shifting capabilities from mere data extraction to knowledge discovery and creation through techniques like Retrieval Augmented Generation (RAG).

If you're ready to fight your company's "paper monster" and transform "unstructured chaos into structured data," stick around – it's going to be less painful than your last expense report. 

This episode was created in partnership with UiPath.