The global insurance sector is experiencing a significant uptick in artificial intelligence (AI) deployments, with an 87% increase year-on-year, according to research from Evident, a London-based provider of AI intelligence and analytics tailored for the insurance industry. This surge reflects a growing trend towards integrating generative AI (GenAI) and agentic technologies into core operational processes.
Utilizing its Evident AI Use Case Tracker for Insurance, a comprehensive database of AI initiatives within the sector, Evident reported that 28 new AI use cases were introduced in the fourth quarter of 2025—almost double the number recorded during the same period in 2024. This growth is attributed not only to increasing adoption rates but also a heightened willingness among insurers to disclose their AI implementations and the measurable outcomes stemming from them.
According to the findings, approximately 40% of insurers are now reporting tangible business benefits linked to AI, with 77% of those benefits associated with productivity gains and a modest 5% contributing to revenue growth. A notable factor driving this rapid increase is the rollout of agentic AI systems, which comprised 21% of reported deployments in Q4 2025. These systems are designed to autonomously manage complex multi-step processes, particularly in claims management, where unstructured data and intricate workflows are prevalent. Evident’s analysis indicates that over half (56%) of these agentic deployments are focused on claims management, emphasizing the sector’s preference to apply AI in operationally complex areas.
A prime example cited by Evident is Allianz’s Project Nemo, which achieved an impressive 80% reduction in processing times for food spoilage claims. This system utilizes a central AI agent to coordinate seven specialist agents, illustrating a notable shift from task-level assistance to comprehensive process automation.
“Insurance is crossing a threshold in AI adoption,” remarked Annabel Ayles, Co-founder and Co-CEO of Evident. “The rise of agentic can be read as a shift from AI as a productivity tool for individual workers to AI as an operational system. Right now, AI is starting to run processes rather than just support them. Claims management is first because it is complex, data-heavy and measurable, but other categories will no doubt follow.”
Evident’s data reveals that GenAI and agentic projects combined accounted for 68% of AI rollouts in Q4 2025, with claims management alone making up 37% of these initiatives—more than any other function. Underwriting and pricing, along with customer engagement, each represented 21% of next-generation AI use cases. The report spotlighted Manulife’s sales enablement tool, which reportedly increased repurchase rates by up to 5%.
The trend toward customer-facing AI applications is also accelerating. Evident observed that 36% of use cases in Q4 2025 included direct interactions with policyholders, a significant rise from a historical average of 7%. Among these, Swiss Re’s Wysa Assure, an AI-enabled mental health application, has been linked to a 31% reduction in depression among users and a potential 33% decrease in claims, marking a growing confidence among insurers in AI’s capability for frontline customer engagement.
Covering 30 prominent life, property and casualty (P&C), composite, and reinsurance groups across North America and Europe, Evident’s research highlights that P&C insurers are leading the adoption wave, accounting for half of AI deployments in Q4 2025. Life insurers follow closely, focusing on applications in underwriting automation, policy servicing, and fraud detection. The specialty and reinsurance segments are trailing, while asset management and investment have seen the most rapid growth, more than tripling their deployment numbers compared to the same quarter in 2024.
Christian Preece, Insurance Director at Evident, noted, “P&C teams are using AI to automate an ever greater proportion of claims processes, with the most advanced insurers experimenting with end-to-end automation via agentic AI.” He added, “That shift from point solutions to end-to-end automation shows how AI is transforming core insurance processes. While the volume and complexity of use cases are highest in claims management, we’re seeing real growth in underwriting and pricing, and customer engagement too—pointing to greater AI maturity across the full lifecycle.”
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