The Impact
23
K
inbound claims emails per month handled
85
%+
extraction accuracy on non-standard docs
3500
+
downstream clients supported
Enterprise AI: Build or Buy?
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The organization processes a high volume of inbound claims emails each month, many with mixed-format attachments such as PDFs, Excel files, scanned documents, and images. While existing RPA bots handled simple scenarios, 56% of emails still required manual processing, driving delays, higher costs, and risk to service-level commitments during peak periods. Complexity was compounded by emails referencing multiple vehicles, drivers, and legal entities, inconsistent client templates, strict GDPR requirements, and the need for full Polish-language support.
An AI-native claims intake and processing solution was deployed to handle high-volume mobility and fleet claims that traditional RPA tools cannot. It processes claims emails end to end, extracting structured data from mixed-format attachments, handling multiple vehicles or legal entities, and flagging low-confidence cases for review. Integrated with existing claims workflows, the solution operates within GDPR requirements, supports non-English language input and output, and maintains throughput during peak periods.
