Insurance & InsurTech
AI Solutions & Automation
● 10 Weeks Timeline
InsurTech AI Claims & Vector RAG Engine
Client: Swiss Shield Insurance Group
85% Faster
Processing Speed
99.4%
Fraud Accuracy
$680,000
Annual Savings
Challenge & Objectives: Swiss Shield Insurance Group
Swiss Shield struggled with a 7-day backlog in manual FNOL claims verification across 120,000 annual policy submissions.
⚡ Engineering Solution for Swiss Shield Insurance Group
In this comprehensive engineering case study, Nexura engineered an autonomous AI RAG pipeline using Python, OpenAI, and Pinecone to extract PDF claim data and flag fraudulent submissions, advancing the state of enterprise AI software development across automated insurance workflows.
💻 Technology Stack Employed:
Python
OpenAI API
Pinecone
Laravel
PostgreSQL
Need Similar Results for Your Swiss Shield Insurance Group Platform?
Our senior technical architects will engineer a custom proposal tailored to your insurtech ai claims & vector rag engine objectives.
Request Proposal →