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Implementation of BPM Engine for Insurance Process Automation
  1. case
  2. Implementation of BPM Engine for Insurance Process Automation

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Implementation of BPM Engine for Insurance Process Automation

altkomsoftware.com
Insurance
Financial services

Challenges in Traditional Insurance Process Management

Reliance on paper-based communication methods, lack of integrated system support for underwriting and correspondence processes, and inability to monitor process efficiency or identify bottlenecks in medical assessment and customer communication workflows

About the Client

Global insurance company specializing in personal insurance, savings, and risk insurance products with operations in 33 countries

Objectives for BPM Implementation

  • Reduce medical evaluation processing time by 30%
  • Enable multi-channel electronic communication (SMS, email, direct mail)
  • Improve collaboration between insurance staff and medical partners
  • Implement real-time process monitoring and analytics

Core System Functionalities

  • BPMN 2.0 compliant process engine (Camunda)
  • Multi-channel correspondence service (SMS/email/direct mail)
  • Template management and version control
  • Process monitoring dashboard with event sourcing
  • Integration with policy management systems

Technology Stack Requirements

Camunda BPM
Angular
Apache Camel
Kafka
Elasticsearch
Kibana
SpringBoot
Java 11
Swagger

External System Integrations

  • Policy management system
  • SMS gateway services
  • Email service providers
  • Medical facility systems
  • Document archiving solutions

Non-Functional Requirements

  • Horizontal scalability for global operations
  • 99.9% system availability
  • Real-time process tracking performance
  • Data encryption and compliance with insurance regulations
  • User role-based access control

Expected Business Impact of BPM Implementation

30% reduction in medical evaluation cycle time, improved operational efficiency through automated correspondence channels, enhanced visibility into process bottlenecks, and cost-effective scalability for future process implementations while maintaining compliance with insurance industry regulations

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