01
Mycelium Parsing
Module 1
Ingests multi-format unstructured claims data, PDF medical reports, handwritten policy documents, and legacy database records.
Use Case 04 · Banking, Finance & Insurance
Legacy RFP / Claims Transformation
Route the hard documents to the expensive models. Route everything else to the cheap ones.
Customer need & pain point
The problem this replaces.
- Insurance carriers spend hundreds of thousands of dollars and months of manual labor ingesting complex, unstructured claims documents, policy forms, and RFP technical specifications.
- Legacy core software systems cannot parse the formats the business actually runs on.
Step-by-step execution
How the engine executes it.
02
Multi-LLM Routing
Module 2 & 3
Dynamically routes complex medical text to high-reasoning models while sending simple policy verification to fast, low-cost models to minimize API token spend.
03
Agentic Triage
Module 4
Validates policy coverage, checks for fraud anomalies, and pre-populates claim settlement recommendations directly into legacy core systems.
Quantifiable ROI & impact
What changes commercially.
- 70% reduction in manual claims processing time, from 5 days down to 4 hours.
- Up to 52% reduction in monthly LLM compute spend through dynamic routing.
- 99.4% accuracy in unstructured document extraction and field mapping.
The “aha” moment
“We were burning tens of thousands of dollars sending every single document through high-cost LLMs. Traffelo AI's dynamic routing routes simple extractions to lightweight edge models and reserves expensive models only for complex edge cases. It cut our monthly AI compute bill in half.”