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 18-19, 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.  

New addition for 2026!

A separate seminar on AI Risk: Insuring the Frontier

As artificial intelligence moves from code into the physical world — powering robotics, automation, and critical infrastructure — insurers face a new class of exposures that traditional models weren't built to handle. From model failure and data leakage to bodily injury and property damage, the risk landscape is shifting fast. To address this new frontier, a new seminar on AI Risks, will be held alongside the main conference: Insuring the Frontier: AI Liability, Product Innovation and Physical Risk. An array of specialist speakers will be sharing advice how to map the risk AI poses and then move on to discussing how the insurance industry is developing products to fill the coverage gap.

What you’ll explore in the AI Risk Seminar:

• The evolving AI risk landscape — emerging exposures from model failure and hallucinations to data leakage, systemic accumulation and AI-driven liability
• Lessons from cyber insurance — what a decade of cyber underwriting can teach the industry about building sustainable AI insurance products from the ground up
• The physical side of AI — growing risks tied to energy infrastructure, robotics and automation, including scenarios involving bodily injury, property damage and operational disruption
• The future of AI insurance — how insurers are evolving coverage, underwriting and risk transfer models to keep pace with AI innovation

For more information, view the full seminar details.

Entrance to the seminar is included in your conference pass, but seating is limited. Day two only passes are available to purchase to gain access specifically to the AI Risk Seminar.

Register Here