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AI & Insurance

InsureAI Claims Automation
InsureAI Claims Automation

AI-powered insurance claims processing platform that automates document verification, damage assessment from photos, and fraud detection. Reduced claims processing time from 14 days to 48 hours.

Client
InsureAI Corporation
Industry
Finance / Insurance
Services
AI Automation, Fintech Solutions, Web App, Infrastructure
Duration
12 months
InsureAI Claims Automation

The Challenge

InsureAI Corporation was drowning in manual claims processing that took an average of 14 days per claim with a 12% fraud miss rate. Their adjusters were overwhelmed with paperwork, and customer satisfaction was plummeting due to slow payouts. They needed an intelligent automation system that could handle the full claims lifecycle while improving fraud detection accuracy.

Core Objectives

  • Reduce claims processing time from 14 days to under 48 hours
  • Build AI models for automated document verification and damage assessment
  • Implement real-time fraud detection with 97%+ accuracy
  • Save $4M+ annually through operational efficiency improvements

Technology Stack

AI & ML
Python TensorFlow AWS SageMaker
Backend & Processing
FastAPI PostgreSQL Celery S3
Frontend & DevOps
React Docker
Project Status Completed
Our Solution

Intelligent Claims Processing Pipeline

We designed an end-to-end AI pipeline that ingests claims documents, photographs, and policy data to automate the entire assessment process. Computer vision models analyze damage photos, NLP extracts structured data from documents, and a fraud scoring engine flags suspicious claims for human review.

Computer Vision Damage Assessment

TensorFlow models trained on 500K+ claim images that automatically assess vehicle and property damage severity, estimate repair costs, and generate detailed reports.

Intelligent Document Processing

NLP-powered extraction of policy details, medical records, and repair estimates with automatic cross-referencing and discrepancy detection.

Real-Time Fraud Detection

Multi-layered fraud scoring engine analyzing claim patterns, image metadata, behavioral signals, and network connections to flag fraudulent submissions with 97% accuracy.

Claims Dashboard & AI Insights

A comprehensive adjuster dashboard showing AI-powered claim assessments, fraud risk scores, and automated recommendations for faster decision-making.

AI-generated damage reports with repair cost estimates
Real-time fraud risk scoring with explainable AI indicators
Automated claim routing and priority queue management
Claims Dashboard & AI Insights
Our Process

Development Process

1

Data Collection & Labeling

Collected and labeled 500K+ historical claims with damage photos, documents, and fraud outcomes for model training.

2

AI Model Development

Trained computer vision and NLP models on AWS SageMaker for damage assessment, document extraction, and fraud detection.

3

Platform Integration

Built the FastAPI backend with Celery task queues for async processing and integrated with existing policy management systems.

4

Validation & Deployment

Ran parallel processing with human adjusters for 3 months to validate accuracy before full production deployment.

Key Results

Transformation Results

InsureAI's platform transformed claims operations, dramatically reducing processing times while catching significantly more fraudulent claims.

Processing Time -85%
Fraud Detection 97%
Cost Savings $4M/yr

Performance Metrics

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InsureAI Claims Automation
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InsureAI Claims Automation
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InsureAI Claims Automation
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InsureAI Claims Automation
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"The AI claims system from Jenova Tech has been transformational. What used to take our adjusters two weeks now happens in under 48 hours with better accuracy. The fraud detection alone has saved us millions."

Dr. Sarah Mitchell
Dr. Sarah Mitchell
VP of Claims Operations, InsureAI Corporation

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