AI readiness for insurance

Overcoming the data, culture and operational challenges to unlock AI’s potential

Bob Bob Ricard, Leadenhall

Free to attend    |    Only 15 places

Overview

Insurers are under huge pressure to deliver value from AI, analytics and automation, yet many projects fail.

The reasons are clear: poor data integrity, unclear ownership, cultural resistance to change and regulatory uncertainty with new rules like the EU AI Act. The result is stalled progress and missed opportunities.

This breakfast briefing will cut through the hype and focus on what really matters – how insurers can move from ambition to successful execution. You’ll explore why so many AI initiatives fall short, what foundations need to be in place for success and how to build the governance, culture and trusted data needed to make AI work in practice.

Join peers to benchmark your AI readiness, share experiences and take away practical steps to overcome the barriers holding insurers back.

Topics to be covered include:

  • Benchmark where your organisation stands on the AI readiness journey
  • Explore why AI projects are failing and the steps to overcome common challenges
  • Understand how data integrity unlocks real use cases – from underwriting to claims and beyond
  • Learn how to build the governance, ownership and change management structures needed for AI adoption

 Speakers

SM
Sean McManus
Head of Data
Ki Insurance
Akhila Mathews
Head of Product – Data
Brit Insurance

 

  • Takes place in the private dining rooms at the top of the Gherkin
  • Only 15 industry practitioner places are available
  • Hear the case study 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 operational barriers to AI readiness in insurance

  • Identifying and addressing the root causes behind stalled AI projects, from unclear ownership to process inefficiencies 
  • Building the operational foundations such as data integrity, governance, and scalable infrastructure to enable AI adoption. 
  • Aligning business and technology teams to overcome cultural resistance and drive accountable execution 
  • Establish agile operating models that turn AI ambition into measurable business value 

 Speakers

SM
Sean McManus
Head of Data
Ki Insurance
Akhila Mathews
Head of Product – Data
Brit Insurance

09.05 Roundtable discussion & feedback

10:00 Close

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