Member event: AI and automation online discussion

AI and Automation Member's Virtual Roundtable

Online Teams Meeting

Overview 

AI and Automation Special Interest Group will be led by Jeremy Burgess.

This Member’s virtual Roundtable will look at the opportunities and implications of AI and Automation, explore use cases and discuss some of the barriers to implementation and how to overcome them.

The purpose will be to provide a forum for sharing of experiences and benchmarking between different organisations.

 

These points can either be resolved on the call or in subsequent meetings. 

Discussion led by:

Jeremy Burgess - The Insurance Network

 

 

AGENDA

Date: 21st May 2025
Time: 1100-1200
Location: Virtual Link to follow
Chair: Jeremy Burgess

Welcome and recap

Top 5 Challenges around AI and automation

  • Data Quality, Access and Integration Issues
    • AI and automation depend on high-quality, well-integrated data. Fragmented, inconsistent, or incomplete data across legacy systems is a major barrier to AI model performance and automation reliability
  • Scaling from Pilots to Enterprise-Wide Solutions
    • Moving beyond proof-of-concept and small-scale pilots to deliver AI/automation at scale across business units.
    • Overcoming organisational silos, change resistance, and aligning technology to real business processes.

  • Regulatory, Ethical and Governance Concerns
    • Ensuring AI solutions are transparent, explainable, and compliant with regulations (e.g., FCA, PRA, GDPR, Consumer Duty).
      Addressing board and executive concerns around AI ethics, bias, and model risk.
  • Balancing Innovation with Practical Business Value
    • Managing business expectations — pushing innovation boundaries (e.g., GenAI, advanced ML) while ensuring practical, deliverable solutions that meet today’s business needs.
      Avoiding "AI hype" and focusing on initiatives that deliver measurable ROI.
  • Workforce Readiness and Cultural Adoption
    • Ensuring employees are equipped to work alongside AI and automation — upskilling, reskilling, and overcoming fears around job displacement.
    • Building a culture that embraces AI/automation as a tool for enhancing (not replacing) human expertise, especially in high-touch areas like underwriting and claims.