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Automation of Insurance Claims Processing with AI-Driven Damage Assessment
  1. case
  2. Automation of Insurance Claims Processing with AI-Driven Damage Assessment

Automation of Insurance Claims Processing with AI-Driven Damage Assessment

experionglobal.com
Insurance

Identified Challenges in Current Insurance Claims Management

The client faces delays and inefficiencies in claims processing due to manual workflows, inadequate handling of unstructured field data, limited scalability, and low code reuse. These limitations result in slow settlements, customer dissatisfaction, and an inability to meet growing business demands.

About the Client

A large-scale insurance provider specializing in residential, commercial, and catastrophe claims, seeking to enhance its claims management efficiency and customer experience through digital transformation.

Goals for Enhancing Claims Processing Efficiency and Customer Satisfaction

  • Reduce claims processing time by up to 70% through automation.
  • Lower operational costs associated with manual processing by up to 30%.
  • Enhance data accuracy by digitizing and automating damage assessment and claims workflow.
  • Improve customer experience by providing a mobile-friendly interface for claim and damage assessment.
  • Enable insightful reporting and data analytics to support faster decision-making.
  • Implement advanced fraud detection mechanisms to prevent misrepresented claims.

Core Functionalities for Automated Claims Management System

  • Mobile-friendly applications for field inspectors to assess damage and upload data.
  • Dedicated customer portal for claim communication and updates.
  • AI-powered damage detection and assessment to identify and estimate repair costs.
  • Cost validation features to prevent fraud by correlating damage with repair quotes.
  • Digitalized claims processing workflow to replace manual tasks and reduce errors.
  • Integrated payment system for seamless claim settlement and vendor payout.
  • Advanced reporting dashboards utilizing data analytics for operational insights.
  • Team management and performance modules for adjuster resource optimization.

Recommended Technologies Stack and Architecture

.NET framework 4.6
Angular JS
jQuery
CSS
React Native
SQL Server 2016

Necessary External System Integrations

  • Third-party damage assessment tools or APIs
  • Vendor quote and repair cost databases
  • Payment gateway services
  • Customer communication platforms

Essential Non-Functional System Requirements

  • Scalable architecture to support increasing claim volume
  • High performance with claims processing times reduced by up to 70%
  • Secure handling of sensitive customer and claim data
  • Mobile responsiveness for field and customer-facing applications
  • Reliable uptime and system availability to ensure continuous operations

Projected Business Benefits of the Claims Automation System

The implementation of this automated claims management solution aims to significantly accelerate claims settlement processes, improving customer satisfaction, reducing operational costs by up to 30%, enhancing process transparency, and providing actionable data insights to optimize overall business decision-making.

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