Simpego uses Amazon Bedrock and Claude Opus to extract data from Swiss insurance claim documents
Swiss digital insurer Simpego and AWS partner copebit built a serverless, event-driven extraction pipeline on Amazon Bedrock with Anthropic's Claude Opus to replace template-based OCR for multilingual Swiss invoices, with schema validation, arithmetic checks and human-in-the-loop review. The source reports 95% of cases without manual intervention and about 30 seconds per document.
Overview
Swiss digital insurer Simpego and AWS partner copebit built a serverless, event-driven extraction pipeline on Amazon Bedrock with Anthropic's Claude Opus to replace template-based OCR for multilingual Swiss invoices, with schema validation, arithmetic checks and human-in-the-loop review. The source reports 95% of cases without manual intervention and about 30 seconds per document.
This entry has 15 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Claims specialists had to manually sift through line items and complex Swiss VAT details from thousands of documents per month. The process was slow, did not scale, and took time away from resolving claims.
The solution
Simpego and AWS partner copebit built a fully serverless, event-driven extraction pipeline on Amazon Bedrock using Anthropic's Claude Opus in place of template-based OCR. Output is checked by schema validation and arithmetic checks, and the claims specialist verifies the pre-filled data.
Reported business value
The source reports that 95% of cases need no manual intervention, with an average turnaround of roughly 30 seconds per document, and that the project went from kickoff to production in two months.
Sources
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This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
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