Marsh Risk Unveils AI-Powered Risk Companion Suite of Analytics to Empower Clients With Faster, Smarter Risk Management

Marsh Risk, a business of Marsh (NYSE: MRSH) and the world’s leading insurance broker and risk advisor, announced the launch of Risk Companion, the next iteration of its digital solutions suite designed to help clients more effectively and efficiently manage their unique risks.

The Risk Companion suite is enabled by an AI-powered analytics engine that connects Marsh Risk’s extensive risk dataset to its advanced actuarial models and deep subject-matter expertise. It represents a significant advance in Marsh’s use of AI to give clients a more detailed view into their risk exposures and mitigation options. It is aimed at delivering the full scale of Marsh’s capabilities to each client more quickly and in ways that meet their specific needs in greater detail than previously available.

“As risks have become more complex, interconnected, and volatile, clients around the world need quicker access to the data, analytics, and insights that enable them to cut through the noise and act with greater confidence at key moments,” said Michelle Sartain, President US and Canada, Marsh Risk. “Risk Companion’s suite of connected solutions enables clients to turn insights into action across the risk lifecycle, from identification to measurement to treatment.”

Marsh Risk will be unveiling two new Risk Companion solutions at RIMS RISKWORLD 2026 in Philadelphia, May 3-6. Renewal Companion allows clients to model retentions, limits, deductibles and coverage in real time, compare outcomes, and publish board-ready recommendations. Captive Companion provides clients with access to their captives’ current financial metrics, automated reporting and document workflows, and benchmarking analytics – allowing them to act faster, reduce manual work, and optimize capital with confidence.

“Today’s launch further enables clients to benefit from our vast dataset, models, and insights with plans to expand the range of solutions in phases,” said Jonathan Lee, Global Leader, Digital Client Experience, Marsh. “This will begin with improved clarity and more immediate visibility into risk, followed by enhanced optimization and decision support, all designed to work together seamlessly. The underlying AI analytics engine is built to be scalable, allowing us to create and adapt solutions as clients’ needs evolve.”

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