Willis Towers Watson has announced that Pegasystems, a software company that focuses on reducing business complexity, has become the latest vendor to join its Radar Live Collaboration program. The program was developed to give insurers faster and smoother integrations with Radar Live, Willis Towers Watson’s price delivery and decision engine platform, through an ecosystem of insurance software houses and system integrators.
Pega, a provider of intelligent automation and low-code solutions, is used by insurers to manage business-critical workflow processes including customer management, claims management and underwriting operations. Its API connectivity helps facilitate easy and rapid integration with Radar Live, Willis Towers Watson said.
Radar Live allows insurers to rapidly inject pricing, rules and decision support models into Pega’s system. Models can be developed, scenario-tested and deployed rapidly, reducing costs and decision cycle times and increasing confidence in pricing and business decisions.
“We are thrilled to collaborate with Willis Towers Watson and Radar Live, a best-of-breed pricing and rules-based engine,” said Kieran Tarrant, vice president of sales, UK and Ireland, for Pega. “Pega drives efficiency, maximises effectiveness, crushes complexity and combines the excellence of Radar Live with Pega, a world-leading case-management capability, to deliver quality underwriting outcomes for insurers and their customers.”
“We are delighted that Pega has joined our Radar Live Collaboration program,” said Andrew Harley, director at Willis Towers Watson. “With data and advanced analytics as the frontiers of change in the insurance sector, companies must migrate their operations to connected, flexible and agile systems capable of creating competitive advantage. Pega’s international success in driving sales, minimising expenses, helping improve underwriting consistency, and maximising the customer experience will mean this collaboration will drive significant value to our mutual customers across the world.”
