Global insurer automates life reinsurance bordereaux

The customer

The customer is a global insurer with over 50,000 employees, offering products in more than 200 countries.

With a diverse portfolio spanning banking, asset management, insurance, and investment solutions, the organization serves institutional, corporate, and retail clients worldwide. Its global scale and deep expertise enable it to deliver tailored financial products across complex markets, while maintaining a strong focus on innovation, risk management, and operational excellence.

Challenge:

The organization faced a complex and fragmented process for calculating premiums for its Life Reinsurance program. This critical task involved pulling together large volumes of data from multiple administration systems, requiring custom-built scripts and significant manual intervention.

These scripts were not only difficult to maintain—often demanding specialist programming knowledge—but also posed serious challenges to scalability. As new products and treaties were introduced, adapting the existing setup became increasingly time-consuming and error-prone.

The process functioned as a “black box,” offering limited visibility into how data was flowing, how allocations were being made, or how calculations were performed. This lack of transparency made it difficult to audit or troubleshoot issues when they arose.

In addition, there were minimal controls in place for validating data or flagging exceptions, increasing the risk of inaccuracies in premium allocations and delaying the ability to respond to data quality concerns.

Solution:

To overcome the inefficiencies and risks of its manual, script-heavy process, the organization implemented an end-to-end automation solution using Solvexia. The platform now seamlessly collects and validates data from multiple administration systems, allocates benefits to the correct reinsurance treaties, and calculates premiums—without requiring any custom code or IT intervention.

Business users can configure the logic behind allocations and calculations using simple, rule-based controls, making the process faster to adapt and easier to manage. The solution also delivers full transparency into the data journey, enabling clear traceability, robust exception reporting, and stronger audit readiness.

Results:

Since deploying the automation, the organization has significantly improved both speed and scalability. Processing time has been reduced by 63%, from over four hours to under 1.5 hours. More than 500,000 benefits are now calculated per cycle, with allocations spanning over ten reinsurance treaties.

The platform generates detailed exception reports, enhances data quality, and has reduced the time to onboard new products and treaties by more than 90%. Delivered in under six months, the solution has provided lasting improvements inaccuracy, control, and operational agility.