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Use Case 11 · Banking, Finance & Insurance

Unstructured Claims & RFP Automated Processing

Multi-model agentic extraction and validation for complex claims and RFPs.

Chief Operating Officer (COO) Head of Claims Operations
Illustration: Unstructured Claims & RFP Automated Processing

Customer need & pain point

The problem this replaces.

  • Weeks lost manually reading unstructured claims, medical bills, and enterprise RFP documents.

Step-by-step execution

How the engine executes it.

01

Edge Ingestion

Module 1

Ingest incoming handwritten claim documents and unstructured PDFs.

02

Edge Scrubbing

Module 1

Route document vision parsing to Qwen 2.5/DeepSeek-R1 to extract structured claim fields.

03

Model Processing

Module 1

Validate extracted line items against core insurance back-end policy databases using MCP tools.

04

Agentic Action

Module 4

Issue automated approval for claims below threshold or flag fraud risk scores.

Quantifiable ROI & impact

What changes commercially.

  • 70% faster claims processing
  • 52% lower token compute costs via dynamic LLM routing

The “aha” moment

“Claims processing time dropped from 8 days to 4 minutes while saving 50% on underlying compute costs.”
Chief Claims Officer (Life & Health Insurance Carrier)