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Matillion × MRH Trowe

Matillion x MRH Trowe, 4,000 hours saved on insurance document processing

4,000 hours of labor saved annually

Manual, error-prone extraction to automated pipeline

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Why it works

The case study earns its efficiency tag by anchoring every claim to a single arithmetic chain: 5 minutes per document, 50,000 documents, €32.50 hourly wage, equals €135,416 saved. That transparency lets a reader audit the number rather than just accept it. There is also a secondary New Capability angle because this is the first time MRH Trowe could apply a generic data model across all insurance divisions, which was not merely slower before but structurally impossible.

Steal this

Show the arithmetic in full. Walking the reader through the unit calculation (time per document times volume times wage rate) converts a vague efficiency claim into a verifiable result and builds credibility without requiring a third-party audit.

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This is editorial commentary and curation. The case study, screenshot, and all metrics are Matillion's published work; we link to the source and lead with our analysis.

  • Vendor Matillion
  • Customer MRH Trowe
  • Industry Fintech / Payments
  • Trigger 50,000 documents per year processed manually with no API access from insurers
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page