Chubb lays out ambitious digital transformation plans with focus on AI & automation

World leading property and casualty insurance firm Chubb has laid out plans for a multi-year digital transformation that includes a major focus on artificial intelligence (AI) and automation.

In its December 2025 investor presentation, Chubb described its digital transformation as a structural reset of how it operates, underwrites risk, and scales growth. The plan centers on automation, expanded use of data and AI, and a leaner operating model aimed at lowering expenses.

Over the next three to four years, Chubb plans to cut headcount by about 20 percent, delivering run-rate expense savings of roughly 1.5 combined-ratio points. Management expects these savings to come from end-to-end process redesign across underwriting, claims, and support functions, with about 85 percent of major underwriting and claims processes automated and a similar share of global gross written premium written through fully digital or digitally enabled channels.

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Digital transformation will impact 70 percent of the businesses

Digital transformation will impact 70 percent of the organization in the next three years, according to Chubb. This will include digitizing the functions and processes the firm employs end-to-end.

To support this shift, Chubb has invested heavily in data infrastructure and AI, employs more than 3,500 engineers globally, and has expanded engineering hubs in Mexico, Greece, India, and Colombia.

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Chubb’s focus on AI and automation

AI and automation are being embedded across the insurance value chain, from underwriting to claims and servicing. Submission intake and pre-underwriting are increasingly automated, cutting cycle times from days to hours in some markets, while claims teams use document automation and AI to boost no-touch rates and speed first contact.

Chubb is framing AI as both a productivity tool and decision engine, supporting underwriting triage, pricing, claims severity, and portfolio management on a governed, secure enterprise platform.

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6 business impacts of AI

The firm highlighted six key business impacts of AI adoption:

1. Better, more informed underwriting and claims decisions with quicker cycle times, greater consistency, and continuous feedback loops.
2. Portfolio management enables the business to identify and respond quickly to changing market conditions, optimize risk selection, and drive profitable growth.
3. Competitive advantage with curated proprietary data that unlocks insights and accelerates decision-making.
4. Digitalized operating environment, real-time intelligence, and more effective and efficient controls
5. Attract and retain highest quality, ambitious talent, enable focus on higher-value actions, enhance productivity, and improve business outcomes.
6. Still experimental, but within the next two to three years, AI adoption is expected to surge and drive change across the industry.

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