Willis Towers Watson outlines AI strategy following Newfront acquisition

Willis Towers Watson  used its Q1 2026 earnings call to outline how it is approaching AI following its acquisition of Newfront.

CEO Carl Hess framed the strategy around client expectations: “Clients are not choosing between human expertise or technology. They expect both.”

WTW positioned itself as structurally advantaged to benefit from AI over the long term, pointing to its ability to combine proprietary data, global scale, and integrated advisory and broking capabilities.

Management highlighted four points:

• Its services are complex and mission critical, where the cost of getting decisions wrong outweighs any benefit from bypassing expertise.
• AI improves efficiency but does not replace trust, judgment, or advocacy in areas like claims and carrier negotiations.
• WTW’s advantages — including proprietary data, long-standing relationships, and scale across Health, Wealth and Career and Risk and Broking — are difficult to replicate.
• AI is expanding demand, particularly in analytics and cyber risk, increasing the need for insurance solutions.

WTW is deploying AI across broking, benefits, and internal workflows. In Risk & Broking, it is rolling out Neuron, an AI-powered operating system integrating risk and analytics tools into a single platform. Neuron is live in Cyber in North America and UK Property, with broader rollout planned through 2026.

In Health, Wealth and Career, Rewards AI — which applies generative AI to compensation benchmarking — now serves over 2,500 users.

The company also pointed to Newfront’s tools, including Coverage Gap Analysis, Navigator, and Partner Management. Chief AI Officer Spike Lipkin noted: “AI is most effective when supplied with a vast amount of proprietary data, which WTW has.”

Early productivity gains are emerging. Call Note Assist has summarized over 1.6 million calls since July 2025, reducing post-call work by 33%, while endorsement processing time has declined by 90%.

In the medium term, WTW sees the opportunity in scaling Newfront’s agentic products and deepening AI adoption across its workforce, creating a compounding effect as models improve and usage expands.

Long term, the focus is not cost reduction but defensibility. As CFO Andrew Krasner put it: “The most durable benefit isn’t cost reduction… it’s the advantage of combining proprietary data and an AI-fluent workforce… hard to replicate.” He added that a portion of efficiency gains will be reinvested, meaning not all savings will flow directly to margins.