Shaping the future of insurance together
Where can agentic AI create value in insurance? What’s getting in the way of progress? And what can realistically be delivered over the next 12-24 months?
These questions and more are among the topics explored by our Product & Tech working group, supported by NashTech, in our latest joint whitepaper.
What is agentic AI?
Agentic AI refers to systems that can act autonomously: automating decisions, following instructions and completing multi-step tasks across areas like:
- claims triage and routing
- internal operational workflows
- frontline digital tools
Our joint working group gives product and technology leaders across insurance and insurtech a chance to compare notes with others who are asking the same questions, avoid wasted investment and help shape the direction of this fast-moving space.
The group's 2025 insights feature in a joint white paper co-authored by Insurtech UK and NashTech that is available to download now below.
To join the next Product & Tech working group roundtable, or to discuss your own agentic AI blockers, ideas or goals with the team, you can get in touch via our Secretariat.
Download the whitepaper
Agentic AI in Insurance: From theory to practice
This whitepaper explores the challenges and opportunities for insurance firms in implementing AI initiatives and seeks to move beyond the theoretical to set out practical examples of where AI agents could make a difference right now.
Key findings include:
- Insurance remains a ‘human business’, with empathy considered to beat costs in customer interactions.
- Just because AI could do it, doesn’t mean it should. Executives agreed the business case for implementing AI initiatives should demonstrate value far beyond cost savings, show alignment with broader strategic goals and detail compelling business reasons for change.
- AI in insurance risks getting stuck in ‘pilot’ mode – While 74% of insurance companies report active AI initiatives, only 7% say they have successfully scaled these innovations across key functions of their business.
- When asked what was stopping them scaling beyond pilot stage, companies repeatedly cited uncertainty around accountability, explainability requirements and regulatory expectations. Other barriers to implementing successful AI initiatives included access to good quality, consistent data.
Latest updates
Key insights: Insurtech x NashTech Working Group
The final meeting of the Product and Tech working group's agentic AI project provided an opportunity to review the group's journey to define agentic AI, explore its fit in insurance, and address challenges like data governance and legacy systems.
The session highlighted the evolution from initial discussions to use cases and practical outputs, including key takeaways for businesses considering agentic AI use cases in insurance.
Inside the NashTech and Insurtech UK agentic AI in insurance workshop
The Product & Tech working group agentic AI roundtable reunited once more for an in-person deep dive - a practical, outcomes-driven and honest look at both the possibilities and pitfalls of agentic AI.
Roundtable insights: The most useful agentic AI use cases in insurance right now
A group of 37 insurance leaders joined the second virtual roundtable to discuss where agentic AI works today and how to deploy it safely in a highly regulated sector that can’t afford to 'move fast and break things'.
Making sense of agentic AI: Real talk from insurance leaders at our inaugural roundtable event
The inaugural meeting of the new Insurtech UK Product & Tech working group was a huge success, packed with honest insights from insurance leaders into how they are making sense of agentic AI in the real world.