Nearly 80 questions came in during Part 1 of “Ask the Experts About AI in EA”. Far more than a 45-minute panel could cover. Ben Clinch, Kevin Donovan, Andy Neill, and James Tomkins return for a full hour to pick up where they left off.
This time, the panel goes deep on the questions that never made it to air: whether “business first, not AI first” can actually be measured, why context and metadata decide whether an AI agent helps or misleads, whether Enterprise Architecture’s governance scope needs to expand to cover agents acting on the business’s behalf, and how to tell whether an AI investment, and the vendor behind it, was worth it.
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As 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.
Laura is your host for this session - and, in effect, your representative in the room. Her role is to bring the questions you submitted directly to the panel, press for specifics, and keep the conversation as candid as the topic deserves. She's spent nearly two decades translating technical complexity into decisions that survive real-world scrutiny - exactly the standard she'll hold this discussion to.
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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