Normalized claim
Time: 10% decrease
Reduced call-handling time in claims by at least 10%.
Aviva, a prominent UK insurance provider, has embarked on a comprehensive strategy to integrate generative AI technologies into its operations with a human-centered focus. Guided by its Group Director of Strategy and Innovation, Aviva employs a three-horizon approach to AI: enhancing current processes, transforming value chains, and reimagining customer and employee experiences. Their key implementations include GenAI-powered claims summarization tools, which have notably reduced call-handling times and enabled faster, more personalized service for motor claims agents. Microsoft Copilot Chat has been deployed to all 25,000 employees, while GitHub Copilot is provided to developers to encourage widespread innovation. These tools are complemented by regular hackathons and training to promote AI literacy and agility throughout the organization. Partnerships with startups, like Founders Factory and the AI-enabled pension tracing tool Fabric, are central to Aviva’s ecosystem integration strategy. Fabric was incubated with Aviva’s support and later acquired, extending generative AI benefits into wealth management. Aviva maintains strong ethical frameworks and regulatory compliance protocols to govern responsible AI use, emphasizing augmentation over replacement of human roles. Their continued focus includes scaling GenAI across claims, customer service, and underwriting while measuring impact through clear operational improvements. Over the next 12–24 months, Aviva aims to further lead in GenAI-powered insurance solutions by prioritizing measurable customer outcomes and sector innovation.
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Normalized claim
Time: 10% decrease
Reduced call-handling time in claims by at least 10%.
Normalized claim
Time: 40% decrease
40% of motor claims agents use the GenAI tool for faster, personalized service.
Microsoft Copilot Chat has been deployed to all 25,000 employees, while GitHub Copilot is provided to developers to encourage widespread innovation
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