Customer story

AI-native claims intake solution extracts with 85%+ accuracy

AI-powered automation to handle complex, high-volume vehicle and fleet claims intake at scale

Industry

Transportation & Logistics

region

EMEA

use cases

AI-driven Fleet Claims Automation

Provided solutions

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The Impact
23
K
inbound claims emails per month handled
85
%+
extraction accuracy on non-standard docs
3500
+
downstream clients supported

The Challenge

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.

The Solution

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.

As tailored as build & as fast as buy

Unframe gives you the best of both worlds - your data, your models, your governance - delivered through a platform that removes everything slowing you down. You stay in control. You just move faster.
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Handling claims emails with mixed documents and multiple vehicles was a bottleneck for us. This solution fits naturally into our existing workflows and gives us confidence that complex cases are processed accurately, with the right level of human oversight.