Results / 9x Expense Capacity and 4x Reimbursement Speed Lift·Case study

AI Document Processing Lifts Expense Capacity 9x and Reimbursement Speed ~4x

National Mid-Market Insurance Service Provider

AI Document Processing Lifts Expense Capacity 9x and Reimbursement Speed ~4x (Speed & Throughput)
What we did:
AI Engineering Business Process Design Full Stack Development Product Management
Industry: Insurance & Financial Services

Business Situation

A mid-market insurance service provider handling expense processing for large insurance carriers and their policyholders nationwide, in a market where reimbursement speed shapes carrier relationships.

The Challenge

Expense review depended on manual document handling that could not scale with carrier volume. Left unchanged, the provider would have ceded the reimbursement-speed advantage to newer entrants competing on automation.

Why It Matters

Compose built an expense processing platform spanning an internal operations dashboard, a policyholder web and mobile app for receipt capture and reimbursement tracking, and a carrier portal serving auto-generated reports. An AI engine extracts, validates, and categorizes receipt data against insurance guidelines.

What Compose Delivered

  • Process discovery mapping manual expense review end to end
  • OCR extraction engine with machine-learning validation
  • Expense categorization against carrier insurance guidelines
  • Policyholder web and mobile app for receipt capture and tracking
  • Carrier portal serving auto-generated reimbursement reports
  • Internal operations dashboard for review and oversight
  • 12 months post-launch support and product-management handover

Outcome

9x increase in expense document processing capacity, with policyholder reimbursement roughly 4x faster.

Automated extraction removed manual document entry from the review path, so throughput no longer tracks reviewer headcount. The engine measured 91% document-level accuracy, on whole documents extracted without error.

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