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The age of Agentic AI: from strategy to commercial value
InsTech and AI Risk present a one-day event on how agentic AI is moving beyond point solutions to coordinated deployment
Insurance is entering a more demanding phase of AI adoption. Early experimentation has shown what the technology can do, but expectations are rising. Boards want investment cases that stand up to scrutiny. Technology and data leaders are being asked to move beyond disconnected pilots. Operations, underwriting and claims teams need to understand how workflows and decision-making change when AI begins to shape work across functions.
These are not separate issues. They are all part of the same shift: from isolated experiments to AI that changes how the whole business works.
Organisations that treat AI as a set of isolated tools may improve individual tasks, but they will struggle to compound the returns. Those that connect systems, workflows and decisions across the business will be better placed to improve performance, scale adoption and make the economics stand up.
On 7 July, InsTech and AI Risk brought together over 300 insurance professionals for a full-day programme designed to help navigate that shift, from the boardroom to the teams building and running it. The programme covers the economics of agentic AI and where the durable advantage actually sits, what production deployments look like in practice, what enterprise-scale implementation requires in a London Market business, what insurance can learn from sectors already operating further along the AI curve, and what the industry looks like in 2030.
