Case Study: WTW transforms commercial insurance workflows with MongoDB Atlas

WTW turns hours-long insurance processes into seconds with MongoDB

Willis Towers Watson (WTW) faced the challenge of modernizing the fragmented and slow commercial insurance marketplace. Their traditional processes for buying and selling insurance took hours, days, or weeks, relying heavily on manual effort and disjointed systems. WTW aimed to digitize the entire workflow into a fast, online digital trading platform called Neuron. The vendor MongoDB, with its MongoDB Atlas database service, was chosen as a critical component to enable this transformation.

MongoDB provided a flexible, scalable, and secure foundation with MongoDB Atlas. This solution allowed WTW's Neuron platform to handle API-driven connectivity and varied data types, replacing what would have been a complex relational database system. The result was a platform that processes insurance transactions in seconds or minutes, maximizing risk capacity for insurers and optimizing capital access for brokers. MongoDB Atlas became the central "version of the truth" for the system, enabling powerful analytics and new levels of agility.

WTW (Willis Towers Watson)