Transforming London market underwriting through agentic AI

Overcoming the people, data and technology challenges to improve underwriting performance and deliver efficiencies

Bob Bob Ricard, Leadenhall

Free to attend    |    Only 15 places

Hype, Reality and Hope

London market insurers are under growing pressure to deliver operational efficiencies in a softening market while also improving underwriting performance to support profitable growth. Coupled with the shift away from individual risk decisions towards more dynamic, portfolio-driven models, business leaders are under increasing pressure to ensure their operating models can keep pace.

While agentic AI is increasingly seen as a route to improved underwriting performance and efficiency, many organisations remain constrained by people, process and data foundations that were never designed to support portfolio-level insight, automation or decision-making at scale: the goal is to move from orchestration to insurance intelligence.

This breakfast briefing will focus on how to overcome these challenges to enable agentic AI in underwriting. Drawing on real-world experiences, you’ll discover how to effectively approach data quality and ownership, overcome legacy and cultural bottlenecks, and reshape your operating model so AI can be deployed at scale and with measurable ROI.

Rather than debating why AI matters, the discussion will centre on how to move from today’s constraints to an underwriting environment that is genuinely ready for agentic capability, and what that means for leadership, investment decisions and execution in 2026 and beyond.

Topics to be covered include:

  • Moving from orchestration to intelligence and avoiding creating technical debt
  • Reimagining workflows by leveraging small language models
  • Fixing data quality, ownership and standardisation issues that limit automation and prevent agentic AI from working at scale.
  • Deploying agentic AI in ways that deliver measurable efficiency and underwriting performance, not isolated proofs of concept.
  • Moving from risk-by-risk decisions to portfolio-level underwriting, and what this means for ownership, governance and control

 Speakers

ST
Saki Thethy
Head of Data (Commercial Lines - GCS)
Aviva
DR
Dale Routledge
Head of Underwriting Products
Apollo 

 

  • Takes place in the private dining rooms at Bob Bob Ricard, Leadenhall
  • Only 15 industry practitioner places are available
  • Hear the case studies then participate in the Q&A

    

AGENDA
08:00 Registration, tea and coffee
08:15  Breakfast of your choice with views over the city
08:40 Introduction by the chair
08:50 Presentations

Overcoming the operational, data and technology challenges to move from AI capability to agentic underwriting at scale

  • Assessing how you develop the critical foundations required when moving from experimentation to agentic processes in underwriting

  • Fixing data quality, ownership and workflows so agentic AI can operate reliably across the underwriting lifecycle

  • Overcoming legacy systems and operating model constraints that block automation and slow execution

  • What successful agentic deployment looks like in practice, including measurable efficiency and performance outcomes

ST
Saki Thethy
Head of Data
Aviva
DR
Dale Routledge
Head of Underwriting Products
Apollo 

09.05 Roundtable discussion & feedback

10:00 Close

Sponsored by

Venue

Bob Bob Ricard, Leadenhall Level 3 122 Leadenhall St London EC3V 4AB