AI and internal efficiency

Governing the gains and making them stick

Location: London

Services: Consulting

Start Date: 22/09/2026 14:00

End Date: 22/09/2026 17:00

Insurers are increasingly adopting AI to streamline processes, reduce manual effort and enhance decision-making. However, saving time on individual tasks does not necessarily release capacity, improve decisions, or reduce costs.

Realising these outcomes depends on the choices such as which problems to address, how processes and roles evolve, and how they govern AI, data, suppliers, and AI-enabled decisions. Without this discipline, efficiency initiatives can increase cost and risk as AI adoption scales.

What we will cover

Practical examples where AI has improved an end-to-end process, rather than simply making an individual task quicker.
How organisations identify and prioritise opportunities that merit investment.
The changes to processes, roles and decision-making needed for benefits to be realised.
Why leaders need a clear view of the growing AI estate: where AI is in use, what it influences, who is accountable and what it depends on.
How governance can connect opportunity selection, implementation, operation and ongoing review.
Lessons from insurers improving existing processes and those building AI into their operating model from the outset.
How organisations can generate the evidence needed to extend what works with confidence while maintaining control and consistency as AI use expands.

Who should attend

This session is designed for AI leaders, and senior managers accountable for the implementation, oversight, adoption, and governance of AI. It will be particularly relevant for Claims and Underwriting Leaders, Heads of Operations, AI and Governance leaders, Chief AI Officers, Chief Transformation Officers, Chief Risk Officers, COOs, and Chief Data Officers.