Convex Group Limited is a global specialty property and casualty insurer and reinsurer, operating across Bermuda, London, and Europe. In addition to providing specialty insurance and reinsurance services, the company offers digital risk management solutions to help businesses manage evolving and complex risks.
As its business continued to grow, Convex embarked on a strategic modernization initiative to enhance connectivity across its policy administration, claims processing, digital risk management, and enterprise reporting applications. The objective was to establish a scalable, event-driven integration platform capable of supporting future business growth, improving real-time data exchange, and enabling greater operational agility.
To support this transformation, Convex partnered with NeosAlpha to implement a modern event-driven integration architecture backed by comprehensive end-to-end quality assurance, ensuring reliable, secure, and scalable integration across its enterprise ecosystem.
Convex aimed to modernize the integration between its insurance applications and digital risk management ecosystem by replacing existing integration approaches with a scalable event-driven architecture.
The objective was to enable seamless, real-time data exchange across policy administration, claims processing, and digital risk management solutions while ensuring data consistency across enterprise systems. Convex also sought to reduce manual intervention, improve operational efficiency, enhance processing reliability, and establish a resilient integration platform that supports future business growth, increases transaction volumes, and enables centralized reporting and analytics.
Insurance
Boomi
QA & Testing
As Convex’s business and technology landscape evolved, existing integration mechanisms required modernization to support increasing transaction volumes, real-time processing, and seamless communication across enterprise applications.
As business volumes increased, there was a growing need to enable real-time processing of policy and claims events to improve responsiveness and operational efficiency.
Maintaining synchronized policy, claims, customer, and risk-related information across multiple enterprise applications became increasingly challenging as transaction volumes grew.
The integration architecture involved Boomi, Amazon EventBridge, Amazon SQS, Amazon S3, Snowflake, and PostgreSQL, making end-to-end testing complex due to asynchronous processing, multiple downstream systems, and data synchronization requirements.
The business required assurance that events were delivered successfully without duplication, message loss, or processing failures under high transaction volumes.
Insurance data from multiple enterprise applications needed to be accurately consolidated for reporting and analytics while maintaining data integrity and consistency across business systems.
Policy documents and claims attachments needed to be securely stored, retrieved, and validated while ensuring data integrity throughout the integration lifecycle.
NeosAlpha’s QA team validated complete integration workflows across policy administration, claims management, digital risk management applications, and enterprise reporting systems, ensuring accurate and reliable data movement across all connected platforms.
Boomi integration processes were validated to ensure correct data transformation, field mapping, business rule implementation, and successful synchronization of policy and claims information across enterprise applications.
Amazon EventBridge was validated to ensure the successful generation, routing, and delivery of business events, such as policy creation, policy updates, claim submissions, and claim updates, to downstream systems.
Amazon SQS queues were tested to verify reliable asynchronous message processing, successful message consumption, retry mechanisms, and prevention of duplicate or lost messages during high-volume transaction processing.
Amazon S3 integration was validated to ensure policy documents and claims attachments were securely stored, accurately retrieved, and maintained throughout the insurance lifecycle.
Integration data flowing into Snowflake and PostgreSQL was validated to ensure policy, claims, and operational data remained accurate, complete, and consistent for enterprise reporting, analytics, and business intelligence. SQL queries were used to verify data integrity between source systems and the centralized data platform.
The QA team performed API validation with Postman, verified backend data with SQL queries, managed defects in Jira, and executed comprehensive integration, regression, database, and User Acceptance Testing (UAT) to ensure production readiness.
The event-driven integration architecture enabled seamless, real-time data flow across policy administration, claims management, digital risk management applications, and downstream enterprise systems.
Automated integrations significantly reduced manual intervention, accelerating policy and claims processing while improving overall business productivity.
Comprehensive integration testing ensured consistent and reliable policy, claims, customer, and operational data across all enterprise applications.
Validated data integration into Snowflake provided a centralized and trusted data foundation for enterprise reporting, operational insights, and business analytics, enabling more informed decision-making.
The event-driven architecture provided a flexible and scalable foundation capable of supporting increasing business volumes, future digital initiatives, and additional enterprise integrations.
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