Let's be honest. Most EA teams right now are getting one message from leadership: do something with AI. But pressure without clarity isn't a strategy.Which use cases actually deliver? What does your architecture data need to look like before AI can do anything useful with it? And if your team is already stretched, how do you build the foundation without adding to the pile?
These are the questions EA practitioners are wrestling with. The answers are more contested than the hype suggests. And there's now enough evidence to have a real conversation about what's working, and what isn't.In partnership with Info-Tech Research Group, Ardoq is bringing together four of the most experienced EA practitioners and researchers in the field. No slides. No sales pitch. Just your questions, put directly to the panel.
Why is this panel different? Most events give you one perspective. This one is built around a structural tension: what the research actually shows versus what it's like to live these decisions inside BT, HSBC, and the Met Office. That gap is where the most useful answers live.
Principal EA Research Advisor, Info-Tech Research Group One of the most cited voices in EA research, Andy brings a data-driven, vendor-neutral perspective on how architecture functions are evolving — and what the evidence actually shows about where AI is making a difference versus where it's falling short.
Having governed architecture across two of the UK's most complex enterprise environments, Ben brings the hard-won perspective of someone who has had to make AI decisions with imperfect data, competing priorities, and board-level scrutiny. He knows where the theory breaks down.
Kevin has spent his career helping EA teams cut through the noise of new technology cycles — AI included. He brings a clear-eyed, internationally-grounded perspective on what separates the practices that successfully adopt AI from those that end up with more complexity and less clarity.
James Tomkins is Principal Enterprise Architecture Researcher at Ardoq, where he studies how organizations use architecture to navigate complexity at scale. His research covers the intersection of EA practice and major transformation events - M&A integration, capability rationalization, and regulatory-driven change. James brings the evidence base that most M&A conversations lack: rigorous insight into what actually works across industries when organizations try to architect their way through a merger.
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