​A Private Leadership Forum for 50 Top Technology, Data & AI Decision Makers.

​In this March edition, you’ll hear from leaders operating at the forefront of the UK AI world - building and releasing AI products inside some of the most heavily regulated industries globally.

​At Remobi, we see daily how critical disciplined AI adoption is. Initiatives rarely fail because of model capability, but they fail when operating models aren’t redesigned, data isn’t production-ready and execution lacks ownership. The organisations succeeding treat AI as an enterprise transformation, not a feature release.

​We’re hosting the evening at WCIT, a historic and architecturally beautiful Livery Hall in the heart of the City - An institution that has championed technology leadership in the UK for decades.

​The panel is exceptional. You’ll gain insight from leaders delivering AI at real scale, under real constraints. complemented by curated networking, drinks and peer discussion with senior operators shaping the future of AI in London.

​What to Expect

​Join us for an evening of keynotes, fireside chats, live insights and discussion covering:

• ​Why AI initiatives stall despite rapid advances in technology

• ​The leadership and cultural foundations required for adoption

• ​Data readiness as the real unlock for generative and agentic AI

• ​Insights behind building the world’s first AI Data Engineer

• ​What agentic AI looks like once deployed inside regulated industries

• ​Practical lessons from concept → production → measurable ROI

​The format is designed to encourage open dialogue, audience questions and will be a great opportunity for networking with like minded peers in the space over a drink.

​Line Up

​Ben Brown
CTO - UnderwriteMe

Ben is the Chief Technology Officer at UnderwriteMe, releasing AI-powered underwriting and protection platforms at the forefront of the insurance industry.

​Operating within one of the most tightly regulated sectors in the UK, he builds and deploys production-grade systems where compliance, risk and governance are embedded by design - not added later.

​Having previously overseen engineering organisations of 100+ people, Ben brings deep experience scaling enterprise platforms while maintaining the architectural discipline required in highly regulated environments.

​Kat Holmes
Data Director - Siemens Energy

Kat is Data Director at Siemens Energy, driving data maturity across a complex global enterprise operating at industrial scale.

​With over 16 years leading large-scale transformation, she aligns people, process and technology to build governed, enterprise-grade data foundations that enable responsible AI adoption. Her expertise spans data strategy, governance and operating model design - ensuring organisations move beyond tooling conversations and into sustainable execution.

​A frequent keynote speaker on data strategy and cultural transformation, Kat brings a strong focus on the people side of data, recognising that ownership, behaviours and organisational alignment ultimately determine whether AI initiatives succeed or stall.

​She is passionate about building inclusive, high-performing global teams and driving meaningful, sustainable change at scale.

​Julian Wiffen
Chief of AI and Data Science - Matillion

Julian leads AI and Data Science at Matillion, where he is building Maia - widely recognised as the world’s first AI Data Engineer.

​He focuses on delivering real-world GenAI at scale, architecting agentic systems that operate inside live enterprise data workflows with governance, guardrails and measurable productivity embedded from day one. His approach is pragmatic and production-led - building AI capabilities that drive operational impact, not headlines.

​Under his leadership, Matillion has accelerated its AI roadmap by years and delivered significant productivity gains across global enterprises, positioning the company at the forefront of AI-driven data engineering.

​Julian holds a Master’s degree in Artificial Intelligence from the University of Oxford, where his research explored genetic algorithms capable of deriving complex relationships from complex datasets - foundations that continue to shape his approach to intelligent systems today.

​Agenda

​18:00 - 18:30
Welcome drinks & arrivals

​18:30
Opening remarks - Ethan Cohen
Framing the evening: from experimentation to enterprise AI, and why operating models, data readiness and governance determine success.

​18:30 - 19:00
Shipping AI in Regulated Industries - Ben Brown
A production-level view of agentic AI inside FCA-regulated environments, including architecture, compliance and real-world constraints.

​19:00 - 19:30
Building the World’s First AI Data Engineer - Julian Wiffen
How Maia moved from experimentation to enterprise deployment, and what agentic AI looks like inside live data workflows.

​19:30 - 20:00
Why Data Readiness Determines AI Success - Kat Holmes
The leadership, cultural and operating model foundations required before AI can scale.

​20:00 onwards
Drinks, great networking & peer discussions.

​Who Should Attend

​This forum is designed for senior decision-makers and enterprise leaders, including:

• ​CTOs, CEOs, CIOs, CFOs

• ​Heads of AI, Data, Analytics, and Engineering

• ​Digital transformation and AI strategy leaders

• ​Operators responsible for scaling AI responsibly and effectively

​*Spaces are limited, so if you cannot attend nearer the time please let us know to support capacity planning at the venue.