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AI SolutionsInsurTech·18 weeks·4 engineers + 1 ML specialist

AI-Powered Insurance Quoting That Cut Processing Time by 90%

90% Faster
Processing Speed
98.7%
Accuracy Rate
68%
Cost Reduction
+$1.4M
Revenue Impact

Client Background

AIQuote is an InsurTech startup disrupting commercial insurance broking with AI-driven risk assessment and instant quoting.

The Problem

Traditional insurance quoting took 3–5 business days, required 6 manual analysts, and had a 23% error rate. They were losing customers to competitors offering same-day quotes.

Our Solution

We built a custom AI pipeline that extracts risk data from unstructured documents, applies ML-based underwriting models, and delivers instant quotes with 98.7% accuracy — all in under 2 minutes.

Implementation

1

Built document ingestion system handling PDFs, images, and spreadsheets

2

Fine-tuned GPT-4 on 50,000+ insurance documents for extraction

3

Trained XGBoost risk scoring models on historical claims data

4

Developed real-time quoting engine with rule engine integration

5

Created broker portal with comparison dashboard and one-click binding

Measurable Results

90% Faster
Processing Speed
From 4 days to under 2 minutes
98.7%
Accuracy Rate
Versus 77% with manual processing
68%
Cost Reduction
Reduced analyst team from 6 to 2
+$1.4M
Revenue Impact
Additional revenue from faster close rates
Their ML team understood insurance better than some brokers I've worked with. The system they built is our core competitive advantage.
PM
Priya Mehta
CTO, AIQuote

Project Details

ClientAIQuote
IndustryInsurTech
Duration18 weeks
Team Size4 engineers + 1 ML specialist

Tech Stack

PythonFastAPIOpenAI GPT-4LangChainAWS SageMakerReactPostgreSQLRedis
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