AI Document Automation Insights

Key Takeaways When the brain does not reach the hands There is a lot of talk about extraction rates and neural networks when it comes to intelligent document processing (IDP). However, if we take a look under the hood of...

Key Takeaways Introduction: The expensive plateau of automation It’s an open secret in management and IT departments in the DACH region: the digital transformation in input management is faltering. Investments have been made in expensive OCR software and (supposedly) advanced...

Key Takeaways When the language model hallucinates: Why GenAI alone is not a business process In the glittering world of consumer AI, everything seems simple: you feed a Large Language Model (LLM) with a PDF, ask a question and get...

Key Takeaways The end of the “data dictatorship”: How zero-shot learning is liberating document processing For years, there was an unwritten rule in Intelligent Document Processing (IDP): if you want automation, you have to pay with data. Anyone who wanted...

Key Takeaways Why Intelligent Document Processing forms the backbone of modern companies In theory, the digital transformation has long since reached the boardroom. In practice, however, many companies are struggling with a phenomenon that can be described as “digital parochialism”:...

Key Takeaways The illusion of control in an unstructured world There is a dangerous fallacy in the boardrooms of European companies: they believe they have data flows under control as long as the core systems in the cloud are certified....