CFC's George Beattie bets on carbon insurance and agentic AI to reshape specialty underwriting
George Beattie, global head of innovation at CFC, is placing two big bets on the future of specialty insurance: carbon insurance as a climate finance tool, and agentic AI to free underwriters from manual drudgery.
CFC has already written close to $150 million in carbon insurance coverage. Beattie said the products are designed to signal quality in a market that has drawn both justified and unjustified criticism, encouraging banks to lend and buyers to purchase credits forward.
The carbon market must function properly because climate finance has limited options, Beattie said. Insurance can play a useful role within blended finance structures.
From Willis to Beazley to CFC
Beattie's path to innovation leadership was unconventional. He began at Willis Towers Watson in 2010 on a graduate scheme that rotated him through facultative reinsurance, product recall, casualty, and kidnap and ransom work. He moved full-time into product recall, joined CFC in 2015 to build a product recall team, returned to Willis in 2017, then moved to Beazley in 2019 to restart its innovation function.
CFC's chief executives heard him on a podcast and invited him back. He now oversees both breakthrough innovation - products the rest of the market hasn't seen - and keeping CFC's existing portfolio current across trading channels.
AI risk and existing products
CFC is working through two related questions on AI: how existing products respond to AI exposures, and what residual risks may emerge that require standalone solutions.
Beattie drew a distinction between the effect of AI on insurance products and its role in operating capability. His focus sits mainly with the former. Chris Mullen, CFC's head of data and AI, leads implementation inside the business.
Why brokers matter more than automation
Beattie's account of transformation was notably practical. CFC begins with business outcomes - faster turnaround, stronger cross-sell, better broker experience - then works backwards to determine what must change in process and data. That often leads to a familiar conclusion: the underlying issue is data quality.
CFC has long directed its energy towards brokers, seeing them as the first customer group it must solve for to reach policyholders effectively. The first objective is to make the broker "look really good" and equip them to sell more complicated lines with confidence.
API-based distribution works well for simple business such as cyber, where underwriting relies on relatively few data points. It is less suited to liability-led products, where intricate underwriting questions remain necessary. The answer lies less in forcing straight-through processing than in reducing friction through better portals, confirmatory subjectivities, and sharper decisions about which questions matter.
Build versus buy
CFC has more than 130 people in technology - probably the largest internal technology team among insurers in London. The firm's build-versus-buy logic is straightforward: buy where good off-the-shelf options exist, but commit internal development to areas that remain differentiating.
Agentic AI and firmographic data are differentiating. Underwriting platforms, once proprietary advantages, can now be sourced externally. The task is recognizing early when a once-proprietary advantage has become commonplace.
Underwriters as portfolio managers
Beattie said underwriters spend between 50 and 70% of their day on tasks they dislike: opening emailed PDF forms, deciphering poorly completed documents, re-keying information into systems. Agentic AI promises to remove much of that manual burden.
The shift would turn underwriters into something closer to portfolio managers, reviewing, validating and improving work already assembled with machine assistance, while keeping a human in the loop. This is not merely an efficiency story, Beattie said.
Insurance penetration as a share of global GDP is roughly 2% and falling, according to a statistic Beattie attributed to Aon. If complex and specialty cover can be distributed more quickly and with less friction, the industry may expand its relevance rather than fight over a shrinking share of economic activity.
CFC does not intend to wait. The company aims to be first to operationalize those gains and demonstrate the benefits in volume terms.
Learn more: AI for Insurance and AI Agents & Automation
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