About the Client
A leading general insurance provider in India managing claims across motor, health, travel, and property insurance segments was experiencing increasing operational strain as claim volumes continued to grow. The organization’s heavily manual validation processes were slowing settlement timelines, increasing operational costs, and impacting customer experience across the claims lifecycle.
To improve efficiency and strengthen fraud detection capabilities, the insurer required an intelligent automation solution capable of accelerating claims validation while enabling adjusters to focus on complex and high-risk cases.
The Problem
The insurer’s claims processing workflows relied heavily on manual verification and fragmented review processes, creating delays across the claims lifecycle.
Key challenges included:
- Long claims validation cycles leading to delayed settlements and reduced customer satisfaction
- Manual document verification increasing adjuster workload and operational overhead
- Inconsistent compliance validation creating audit and regulatory risks
- Fraud detection dependent on manual review processes, limiting early identification of suspicious claims
- Rising operational costs driven by labor-intensive processing across growing claim volumes
Our Approach
Lauren Group designed and implemented an AI-powered claims validation platform on AWS to automate document extraction, compliance validation, and fraud detection within a unified workflow.
The solution included:
- Automated extraction of policy details, claimant information, and incident data from uploaded documents, scanned files, and images
- Rule-based validation workflows to verify claim data against compliance and policy requirements in real time
- AI-powered weighted fraud scoring to identify incomplete or suspicious claims before settlement
- Human-in-the-loop workflows routing only flagged or high-risk claims to adjusters for manual review
- Secure API-based integration with existing claims and policy management systems
Tech Stacks Used

AWS Bedrock

Amazon API Gateway

AWS Lambda

Amazon S3

AWS SQS
The Result
- Reduced claims validation timelines from days to minutes through intelligent workflow automation
- Improved straight-through processing rates for routine claims
- Enhanced fraud detection accuracy with AI-driven scoring models
- Standardized compliance validation across all claims workflows
- Lowered operational costs through reduced manual intervention
- Improved policyholder experience with faster and more reliable claim settlements