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QBE has significantly advanced its deployment of artificial intelligence to bolster its underwriting efficiency and accuracy across various geographical regions.
Following a successful pilot program in North America, QBE has noted a drastic reduction in the review time required for broker submissions by its cyber underwriters—cutting the workload by two-thirds.
Initially introduced in the US in December, the Cyber Underwriting AI Assistant has revolutionized the initial assessment phase. The assistant swiftly evaluates submissions for completeness, appetite, and risk management effectiveness, empowering underwriters to make quicker and more informed decisions.
Building on this momentum, QBE extended the use of this AI tool to its European cyber underwriting team in April, contributing to a cohesive and streamlined process across the continent. Furthermore, the launch of an AI-driven workers’ compensation tool in Hong Kong and Singapore this June marks another milestone, enhancing underwriting activities by deploying AI technology.
QBE is not stopping there. The organization plans to further harness AI to support underwriting operations in its Australia-Pacific division, illustrating its commitment to integrating cutting-edge technology into its global business strategies.
Matt Mansour, QBE's Group Executive for Technology and Operations, expressed the company's enthusiasm about the expansion. “Scaling this tool across QBE is a critical step in our journey to optimize underwriting processes. We aim to streamline large submissions, enhance comprehension, and expedite decision-making, all of which ultimately improve our cyber submission protocol,†he said.
Mr. Mansour emphasizes QBE’s strategic focus on harnessing AI to drive operational efficiency and enhance user experiences for customers, partners, and employees alike. “We are identifying key areas where generative AI can have the most profound impact, such as underwriting, and ensuring its application is both responsible and effective,†he added.
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Knowledgebase
Moral Hazard: The concept that individuals may take on more risk when they do not bear the full consequences of that risk, often relevant in insurance scenarios.
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