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Insurance

AI-Driven Claims Processing Transformation

Reducing claims settlement from 15 days to 3 days

0%
Faster Settlement
0%
Better Fraud Detection
0%
Cost Reduction
0%
STP Rate

The Client

A Fortune 500 insurance company with diversified product portfolio:

  • $10B+ gross written premium
  • 10M+ active policies across P&C and Life
  • 50,000+ agents and brokers
  • Operations across 30+ countries
  • 80+ years of industry experience
AI-Driven Claims Processing Transformation

The Challenges

Long Settlement Times

Average claims settlement taking 15+ days due to manual processing, document collection, and approval workflows.

High Fraud Losses

Estimated 10-15% of claims involving fraud or exaggeration, costing millions annually.

Manual Document Processing

Claims adjusters spending 60% of time on document review and data entry instead of decision-making.

Inconsistent Adjudication

Similar claims receiving different outcomes based on which adjuster handled them.

Poor Customer Experience

Customers frustrated with lack of transparency and communication during claims process.

High Operational Costs

Large claims operations team required to handle growing claim volumes.

Project Timeline

1

Discovery & Analysis

4 Weeks

Activities

  • Claims process mapping
  • Fraud pattern analysis
  • Data quality assessment
  • Technology evaluation

Deliverables

Transformation Roadmap

2

AI Model Development

10 Weeks

Activities

  • Document extraction models
  • Fraud detection algorithms
  • Damage assessment AI
  • Reserve estimation models

Deliverables

AI Model Suite

3

Platform Development

12 Weeks

Activities

  • Claims intake portal
  • Adjuster workbench
  • Workflow automation
  • Customer communication hub

Deliverables

Claims Platform v1

4

Integration & Testing

6 Weeks

Activities

  • Policy system integration
  • Payment gateway integration
  • External data sources
  • UAT and performance testing

Deliverables

Integrated Platform

5

Rollout & Optimization

4 Weeks

Activities

  • Phased production rollout
  • Model performance tuning
  • User training
  • Continuous improvement

Deliverables

Production Deployment

Our Solution

Intelligent Document Processing

AI-powered extraction of data from claim forms, medical records, police reports, and repair estimates with 95%+ accuracy.

70% reduction in data entry
Computer VisionNLPOCRCustom ML Models

AI Fraud Detection System

Real-time fraud scoring analyzing claim patterns, network analysis, and behavioral indicators to flag suspicious claims.

35% improvement in fraud detection
Graph AnalyticsAnomaly DetectionSocial Network Analysis

Automated Claims Adjudication

Rules engine combined with AI for straight-through processing of simple claims and intelligent routing of complex ones.

90% straight-through processing
Decision EnginesML ClassificationWorkflow Automation

Customer Self-Service Portal

Digital claims filing with photo/video upload, real-time status tracking, and AI chatbot for instant support.

60% digital claim filing
ReactMobile AppsChatbotReal-time Updates

Project Team

1
Project Manager
2
Solution Architects
10
Full-Stack Developers
4
AI/ML Engineers
2
DevOps Engineers
4
QA Engineers
2
UI/UX Designers
2
Domain Consultants

The Results

80% Faster Settlement

From 15 days to 3 days average

35% Better Fraud Detection

Reduced fraud losses significantly

90% STP Rate

For eligible claim types

40% Cost Reduction

In claims operations

45 NPS Improvement

Customer satisfaction surge

$25M Annual Savings

From fraud prevention and efficiency

"

The transformation of our claims operation has been remarkable. We've gone from being an industry laggard to a leader in claims experience. Viprata's AI solutions have fundamentally changed how we serve our customers.

Chief Claims Officer
Fortune 500 Insurance Company

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