Insurance Claims Processing leveraging Camunda and Agentic AI
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Overview:
Insurance customers expect speed, accuracy, and clarity when filing claims. HCLTech’s solution leverages AI and Camunda’s orchestration to automate document verification, real-time data analysis, and anomaly detection. This creates a seamless, adaptive, and customer-first claims experience.
• Industry Challenges Addressed:
o Slow, manual workflows and high error rates
o Limited fraud visibility
o Rigid legacy systems and resource inefficiencies
o Low customer confidence due to lack of proactive communication
o Key Solution Features:
o Easy claim initiation via app, website, or phone, guided by AI-powered chat and voice agents
o Intelligent document handling and data extraction
o AI-powered claim assessment, fraud detection, and auto-approval of simple cases
o Integration with legacy systems using RPA bots
o Intelligent task assignment for adjusters
o Continuous customer updates and seamless external collaboration
o Personalized human support for complex claims
o Continuous optimization through analytics
• Differentiators:
o Real-time, autonomous decisions using agentic AI
o Operational excellence with intelligent case management
o Superior customer experience with speed and transparency
o Stronger fraud protection through continuous learning systems
HCLTech combines its insurance domain expertise with the power of Camunda and AWS to define, design, develop and help deliver a streamlined, AI-driven claims automation solution. By orchestrating workflows through Camunda and leveraging AWS services like Amazon Bedrock and AWS OpenSearch, the solution enables end-to-end automation—from claim initiation to resolution with real-time fraud detection, intelligent document processing, and scalable, secure operations.
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