2026-04-29 · Source: Reinsurance News
Summary in 3 Points • Marsh Risk introduces Risk Companion, an AI-driven analytics platform for enhanced risk management • The platform uses a proprietary AI engine combining global risk data with actuarial modeling • Risk Companion aims to improve efficiency and effectiveness in managing unique client risks --- Marsh Risk, a division of Marsh, has unveiled Risk Companion, a new suite of **AI-driven analytics** tools designed to enhance risk management for its clients. This innovative platform leverages a proprietary **AI engine** that integrates Marsh's extensive global risk datasets with advanced actuarial modeling and deep subject-matter expertise. Risk Companion is tailored to help clients manage their unique risks more effectively and efficiently, promising faster and smarter decision-making capabilities for businesses navigating complex risk landscapes. For the **London Insurance Market**, the launch of Risk Companion by Marsh Risk represents a significant advancement in the use of **artificial intelligence** for risk management. The integration of AI with Marsh’s global data and actuarial insights could lead to more precise risk assessments and improved underwriting processes. This development is likely to influence the competitive landscape, as insurers and brokers may need to adopt similar technologies to maintain their market positions and meet evolving client demands. **Underwriters**, **brokers**, and **risk managers** should consider the implications of Marsh Risk's new platform on their operations. The enhanced analytics capabilities could streamline risk evaluation processes, reduce the time needed for decision-making, and improve the accuracy of risk assessments. Professionals in the London Market may need to explore partnerships or investments in AI technologies to stay competitive and meet the growing expectations for data-driven risk management solutions.
For the London Insurance Market, the launch of Risk Companion by Marsh Risk represents a significant advancement in the use of artificial intelligence for risk management. The integration of AI with Marsh’s global data and actuarial insights could lead to more precise risk assessments and improved underwriting processes. This development is likely to influence the competitive landscape, as insurers and brokers may need to adopt similar technologies to maintain their market positions and meet evolving client demands.