AI is reshaping how organisations operate, deliver value, and compete all at once.
How do technology leaders build confidence in delivery, when speed, complexity and AI all increase?
With a focus on assurance across complex enterprise delivery, supplier ecosystems, operational resilience and AI-enabled change, this session will examine how AI accelerates delivery speed but raises new questions around governance, protecting customer outcomes and regulatory trust.
In this session, industry leaders from Expleo, Welsh Water and Admiral Insurance will explore:
- Executive perspectives on AI-native transformation in BFSI and utilities
- Practical insight into faster, safer digital delivery, grounded in real-world transformation experience
- How organisations are building evidence-led assurance approaches to support resilient, enterprise-scale digital delivery
Our speakers
Nial Grimes, CIO, Welsh Water
Nial has led technology-enabled business change across utilities and the public sector, with a particular focus on the design and execution of technology strategies and transformation to drive business performance, optimise cost and efficiency, and manage risk.
Nial will share his experiences in assuring AI-enabled change in a regulated, operationally critical enterprise.
Pankaj Kane, Chief Engineer, Admiral Group
Pankaj is Admiral’s chief engineer with deep BFSI experience across NatWest and Prudential, spanning modern delivery models, quality engineering, platforms and GenAI-enabled change.
Pankaj will provide a practical view on how engineering teams can build capability for faster, safer delivery while improving resilience, cost and control.
Steve Wilson, Head of Digital Assurance, Expleo
Steve Wilson is a Digital Assurance and Software Quality leader with over 20 years’ experience delivering complex technology programmes.
Steve will outline the new Assurance agenda, focusing on the shift from traditional testing to AI-first, end-to-end digital assurance that delivers continuous quality and business value. He will also explore AI testing, governance, ongoing monitoring, and the evolving role of the tester as the “human in control.