Initial Situation

Our client processes a high volume of incoming customer documents daily, especially in claims management. Many of these documents are unstructured and require manual post-processing. To reduce effort and improve data quality, the goal was to develop a fully functional data extraction model for a specific document type within the scope of a focused Proof of Concept (PoC).

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Our Contribution

• Defined and analyze the target document type in collaboration with the customer
• Applied AI models to extract relevant header and detail information, classify document content, and structure the output as XML

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Value Delivered

• Delivered a working AI model within 4 weeks that accurately extracts and classifies data according to customer requirements
• Generated an XML output aligned with the Forum Datenaustausch standard, enabling integration into the client's claims system for automated processing