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Leading US Insurance Company

Revolutionizing Claims Processing with AI-Powered Automation

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Leading US Insurance Company

The Challenge

Manual, inefficient FNOL (First Notice of Loss) process led to delays, bad debts, and poor experiences for policyholders and claims handlers.

Key Issues
  • Manual FNOL processing
  • Delayed claims processing
  • High operational costs
  • Poor customer experience
  • Fraudulent claims
Business Impact
  • Increased processing time
  • Higher operational costs
  • Customer dissatisfaction
  • Loss of market share
  • Regulatory compliance issues

Our Approach

E2E self-serve Claims STP using AI/NLP/CV, workflow automation, and digital levers for business efficiency and user experience.

AI-Powered Processing

Automated claims processing with intelligent decision making

Computer Vision

Automated damage assessment and documentation

Fraud Detection

Advanced algorithms to identify suspicious claims

Outcomes & Results

~40%

Claims STP

Straight Through Processing rate achieved

~45%

Efficiency Gain

Overall operational efficiency improved

~20%

Reduced Fraud

Fraudulent claims detection improved

~40%

Reduced AHT

Average Handling Time significantly reduced

Technology Implementation

AI & Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision for damage assessment
  • Predictive analytics for fraud detection
  • Intelligent document processing
Automation & Integration
  • Workflow automation
  • API integration with legacy systems
  • Real-time data processing
  • Automated decision making

Case Study Summary

Client

Leading US Insurance Company

Industry

Insurance

Solution

E2E Claims Automation Platform

Timeline

8 months

Key Technologies
  • AI & Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Workflow Automation
  • Fraud Detection
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