Manuka Pattern

Accelerating AI in Insurance

Accelerating AI in Insurance

Practical In Person Event | 24th June, 2025

Leadership Session in partnership with Solved Together 

  • 4pm to 6pm – working event 
  • 6pm to 7:30pm networking drinks and nibbles 
  • London - venue TBC

In an industry flooded with hype, what separates noise from impact? 

Join us and Solved Together for a focused, executive-level session designed to help insurance leaders cut through complexity and accelerate meaningful AI adoption.

This is not theory — it’s a behind-the-scenes look at how insurers are solving the right problems with data and AI, and the critical steps they’re taking to drive real transformation. 

This session is specifically designed for individuals responsible for driving improved decision making and business performance through the use of data and AI. Prior events have been attended by:  

CIOs, CTOs, COOs, CFOs, CDOs

Directors of Data, AI, and Innovation

Heads of Transformation and Change

Line of business Directors in for example underwriting or claims management

Engage and network with your peers, exploring how, as Insurance Leaders, you can harness AI to drive improvements in your organisation. 

Utilising a proven framework, we will help you identify use cases and opportunities that can make a real impact, define a clear action plan to get you started and consider the wider implications of future project to help set you up for success.

This session is all about ensuring you leave with a clear view on how you can drive improvements in your organisations with data and AI.

With over 22 years of experience in business transformation across global firms like PwC, Microsoft, and Accenture, Rujuta brings deep expertise in innovation, people-driven change, and emerging tech like AI and machine learning.

Rujuta, as founder of Solved Together, helps businesses solve complex challenges in days, not months, by harnessing their people’s potential through human-centred design and leveraging technologies like AI, machine learning, and smart devices.

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