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Fintech Cuts Document Review Queue by 60% with Hybrid AI Pipeline
Sun Finance, a Latvian fintech processing 4 million loan evaluations monthly, rebuilt its identity document verification pipeline using Amazon Bedrock, Textract, and Rekognition to handle multilingual documents and multiple ID formats. The system improved extraction accuracy from 79.7% to 90.8%, reduced per-document costs by 91%, and cut processing time from up to 20 hours to under 5 seconds. The company deployed the solution in production within 35 business days of technical handover, reducing manual review requirements from 60% of applications.
by Babs Khalidsonยท AWS Machine Learning Blog
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