Marsh Risk, the insurance brokerage arm of Marsh, announced the launch of Risk Companion, a new set of artificial intelligence-driven analytics tools designed to help clients more effectively manage their unique risks.
The platform leverages a proprietary artificial intelligence engine to integrate Marsh’s global risk data sets with advanced actuarial models and deep subject matter expertise.
The launch represents a significant advancement in Marsh’s use of artificial intelligence to give clients more detailed visibility into their risk exposures and mitigation options, allowing the company to deliver insights faster and with more detail than before.
“As risks become more complex, interconnected and volatile, clients around the world need faster access to data, analytics and insights so they can cut through the noise and act with greater confidence when it matters,” said Michelle Sartain, president of the U.S. and Canada at Marsh Risk.
“Risk Companion’s suite of connected solutions enables customers to turn insights into actions throughout the risk lifecycle, from identification to measurement to treatment.”
In addition, Marsh Risk will launch two new Risk Companion solutions at RIMS RISKWORLD 2026, taking place from May 3 to 6.
The first is Renewal Companion, which enables real-time modeling of retention, limits, deductibles and coverage. This enables clients to compare different results and generate recommendations that can be used by the board.
The second solution is Captive Companion, which enables clients to access financial metrics and benchmark analysis of their captive insurance companies. By automating reporting and documentation workflows, the tool helps clients take action faster, reduce manual work, and optimize capital with confidence.
“Today’s announcement further enables customers to benefit from our vast data sets, models and insights, with plans to expand the scope of the solution in phases,” said Jonathan Lee, global head of digital customer experience at Marsh.
Adding: “This will start with increased clarity and more immediate visibility into risk, followed by enhanced optimization and decision support, all designed to work seamlessly together. The underlying AI analytics engine is built to be extensible, allowing us to create and adapt solutions as customer needs change.”
