
According to Evident’s Q4 2025 Insurance AI Use Case Tracker, 68% of publicly disclosed insurance AI deployments were generative or agentic, with agentic AI accounting for 21% of deployments. The direction of travel is clear: AI is no longer experimental in insurance—it is increasingly operational.
In 2026, the question is no longer whether insurers will adopt Agentic and Generative AI, but how quickly they can move from pilots to scaled production. Early adopters are already seeing measurable gains in underwriting, claims, and operations, from improved speed and productivity to better decision-making and automation of complex workflows.
However, scaling AI across insurance enterprises remains challenging. Legacy data environments, regulatory and governance complexity, model validation, and organisational readiness continue to slow adoption. At the same time, questions around risk tolerance, trust, and accountability are becoming central to every deployment decision.
Getting this transition right is now a competitive necessity. Done well, AI unlocks significant efficiency and strategic advantage. Done poorly, it risks wasted investment, compliance exposure, and falling behind faster-moving competitors.
Join Intelligent Insurer’s Agentic & Generative AI for Insurance Conference (November 18, New York) to explore how insurers are moving from experimentation to execution.
This event is designed for decision-makers focused on real-world deployment, scalable use cases, and measurable ROI. Hear from insurers already running AI in production, technology leaders building AI systems, and practitioners solving the practical challenges of data, governance, and adoption—alongside what is actually working in insurance today.
Find out more by registering your interest today.