Technology for Insurers

Future-focused pricing, claims and underwriting starts with WTW’s Radar. Our award-winning software uses data and analytics to help insurers make fast, accurate and informed decisions and deliver market-leading outcomes. 

Powerful modeling and reserving methods with flexible, high integrity data management capabilities. Includes an optional stochastic module for quantifying reserve risk based on leading-edge stochastic techniques.

Performs the data collection and calculations, and provides the accounting outputs required for IFRS17.

Powerful, flexible capital modeling with an extensive library of model components, including economic scenario generation, claims generation, reserving, reinsurance, financial reporting and capital calculations.

A powerful modelling tool to calculate the Standard Formula under Solvency II and to undertake multi-year Solvency Capital Requirement (SCR) projections for the Own Risk and Solvency Assessment.

Enables life insurers to run financial models that accurately reflect their company's products and to run them in ways that are easily adapted to their business processes.

Aggregates the solvency capital requirement using the EIOPA Solvency II standard formula for life, health and PC business across single entities and groups.

Calculates and embeds flexible economic capital models in day-to-day risk management with greater speed and precision.

Standardizes and automates all stages of the proxy modeling process, reducing the manual effort in what can otherwise be a resource-intensive process.

Generates economic scenarios and asset returns under risk-neutral or real-world bases in a globally consistent framework.

A stochastic multi-state mortality/morbidity model informed by detailed medical research combined with expert medical opinions; allows firms to rate business based on various medical risk factors.

Automates and governs the end-to-end financial modeling and reporting process by integrating multiple software applications into user-defined workflows.

Validates and cleanses data to prepare it for use in downstream financial modeling and reporting processes, providing easily auditable reports to bring a level of rigor and governance to your data processes.