On February 3rd, Evalueserve sponsored a panel at TINTech London Market 2026, exploring how AI is transforming insurance. The session, moderated by our Global Leader for Risk and Quant Solutions, Anna Slodka-Turner, brought together three industry experts to share their experiences using AI in underwriting, claims, and portfolio management.
The conversation made one thing clear: AI is not a distant future. It is here, and it is changing the way the London Market works. But making it work at scale takes more than technology.
Where AI Makes a Difference
AI is helping teams make faster, smarter decisions and remove friction from inefficient processes. Many firms are still running pilots or experimenting with automation and large language models. Moving from pilot to full implementation exposes gaps in systems, data, and governance.
The question is no longer whether to use AI. It is how to make it work safely, effectively, and at scale.
From Support to Decision-Making
The panelists shared real examples of AI in action, highlighting how it is evolving from a basic support tool to a powerful partner that enhances human decision‑making. By embedding AI across underwriting, claims, and portfolio management, teams are able to work more efficiently and deliver better client service—strengthening both responsiveness and competitiveness.
At Evalueserve, we focus on supporting underwriting by enhancing risk visibility and enabling faster, informed decision-making through AI-driven insights — without taking control away from the underwriter.
What AI-driven augmentation looks like in practice
When we talk about AI in specialty underwriting, we focus on three practical areas:
- Deep Risk Insight - AI helps underwriters digest multiple data sources into a structured framework that surfaces key risk attributes and exposures quickly. This gives underwriters a clear view of the risk profile before applying their judgement. Quantitative analysis of loss probability and portfolio-level insights further supports informed decision-making.
- Efficient Risk Processing - AI reduces manual effort on time-consuming tasks such as summarizing risk factors, highlighting early risk signals, and drafting initial underwriting documents. These capabilities help insurers manage submission volumes, improve turnaround times, and maintain consistency.
- Decision Support, Not Decision Automation - Specialty risks are highly bespoke, so human judgement remains central. AI provides insights and speeds up processes, but underwriters remain fully in control. The goal is to enhance expertise, not replace it.
Practical Impact
Insurers working with Evalueserve see clear results:
- Faster submission review and quoting
- Greater consistency in underwriting
- Better use of senior underwriter expertise
- Reduced manual effort across the underwriting lifecycle
Most importantly, our AI-enabled framework increases transparency and confidence in decision-making rather than replacing experience. Machine-driven portfolio insights and adaptive pricing are already creating real efficiency and value.
Scaling AI Requires More Than Technology
Success depends on people, processes, and culture.
- Teams need the right skills and incentives to adopt AI.
- Governance and risk controls are essential to ensure safe implementation.
- Reliable, standardized data and modern infrastructure are critical.
Without engagement, clear communication, and collaboration across teams, adoption will stall. Success comes from aligning technology with people and processes.
The London Market of Tomorrow
AI is helping firms make faster decisions, adjust pricing dynamically, and gain insights across portfolios. Organizations that integrate AI thoughtfully will improve client experiences and strengthen their position in the market.
The panel showed that the future is not about replacing humans. It is about making complex operations work better, faster, and more reliably.
Key Takeaways
- Start by using AI to support and strengthen human decision
- People, processes, and culture are just as important as technology.
- Structured frameworks and collaboration are essential for safe and relevant adoption.
- AI is already delivering value. Firms that implement it carefully will shape the future of the London Market
