The solution introduces a Decision Table that standardizes and interprets claims from different brokers, enabling automated processing and reducing manual input.
Client name Vivium
Industry Insurance
Technology Java, Spring boot, React, MuleSoft
Location Antwerp, Belgium
Team size 4
Project duration 2 years – ongoing
The Vivium company (part of the P&V Group) is among the top 3 insurance providers in Belgium. They offer insurance packages to more than 1000 independent insurance brokers. Their clients (brokers) work as mediators between insurance companies and end customers.
When brokers submitted claim declarations, they couldn’t complete the entire process digitally. While they could provide general information through the online system, the subsequent steps required a lot of manual handling by Vivium employees. The absence of a standardized method for decoding each broker’s unique standards and message codes further complicated the process, causing delays and inefficiencies.
Enabling the submission of claims through APIs
Flexibility and the ability to onboard multiple consumers
Developing a method to interpret different codes and standardize messages from brokers
Synchronizing the manual and digital processes into one solution
To address the challenge of interpreting different brokers’ codes, a middle component called a Decision Table was implemented. When brokers submit a claim, the Decision table selects from over 30 main scenarios and 500 variations. The selected scenario guides the back office on how to process the claim, even if some data is pending. Default fields and automated API integrations further streamline the process, reducing the need for manual input from brokers. The decision table also enables the client to create and manage new scenarios independently.
For the back end, we used Java and the Spring boot framework, while for the front end and API orchestration, we used React and MuleSoft Anypoint.
The client can now fully process claim declarations from different brokers
The new solution minimalizes the need for manual work, enabling faster processing and reducing the risk of human error
The system is designed for scalability, allowing for flexible adaptation and onboarding of multiple consumers
The client can create new scenarios and add rules for them without requiring IT support
Chief Product Owner
Insurance Company
