Meridian
Fintech & BFSI · Product engineering · Web platforms
Real-time payments reconciliation for a digital lender
Series B digital lender · 2025
LiveCS—02
VertexAn AI claims assistant that reads 40,000 documents a day
- Client
- National general insurer
- Industry
- Fintech & BFSI
- Platforms
- Web · Cloud
- Timeline
- 5 months · 2026
01The challenge
Claims handlers spent most of their day reading medical bills, survey reports and policy wordings. Turnaround times were rising, and every new hire took months to learn the rules.
02Our approach
We began with an evaluation set of 1,200 real, anonymised claims and agreed accuracy thresholds with claims leadership before writing any production code.
The system combines OCR, structured extraction and retrieval over policy wordings, so the assistant answers handlers' questions with citations. Low-confidence cases go to people automatically, and every decision is logged for audit.
03The outcome
Handlers now start every claim with a pre-filled summary and cited evidence, and spend their time on judgement rather than reading.
04Results
- faster claim triage
- 62%
- documents processed every day
- 40,000
- field-level extraction accuracy
- 94%
05What we built
Inside Vertex
- 01OCR and structured extraction for 30+ document types
- 02Retrieval over policy wordings with citations
- 03Confidence scoring with human review
- 04Evaluation dashboard tracking accuracy weekly
- 05Private deployment inside the insurer's cloud
06Architecture
How it fits together.
A simplified view of the production system. Client-specific details are omitted.
System architecture · simplifiedCS—02
- AI
- LLMsEmbeddingsOCR
- Backend
- PythonFastAPIPostgreSQLpgvector
- Frontend
- ReactTypeScript
- Cloud
- AWSPrivate networking
“This isn't a demo. It is in production, audited, and trusted by our claims team every single day.”
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