Hello,

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I'm Igor Ageyev.

I've been an enterprise architect for over thirty years, most of them in banking, and I've watched companies buy AI twice.

The first time, in the nineties, it was called expert systems. This time it's called AI agents. Both times they bought it the way they once bought ERP: as an answer, before understanding the question.

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I was trained as an engineer, in a tradition where systems either worked or people answered for it.

I began my career in the Soviet Union in research, then in my own IT business, then working with large state organisations and businesses through the nineties. Which means I've had an education few architects get: I watched, from the inside, what happens to organisations built for a world that has ended.

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I've seen it three times.

The first wave took a country, the largest supply economy in history, superb at building and scaling, structurally incapable of sensing and responding.

The second took my company during the 1998 crisis.

The third took my employer, whose business empire didn't survive a political shift.

Three different scales, one identical pattern: the environment changed faster than the organisation could perceive, and by the time the change was undeniable, it was unsurvivable.

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In 2002 I moved to London, and I've spent the two decades since designing and governing architecture for banks and financial institutions: Santander UK, RBS, ventures from the Baltics to the Gulf.

When LLMs crossed the threshold from research toy to enterprise instrument around 2021, I recognised the moment: the second AI wave I'd worked in had ended in winter, and I wanted to understand whether this one was different. It is. Not because the promises got better, but because the underlying economics did.

Somewhere along the way I started studying economics seriously, on my own time: Smith, Schumpeter, Taylor, Keynes, Taleb. I wasn't looking for a qualification. I was looking for the pattern I'd already lived through and for why I was starting to see its early signs again, this time everywhere.

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This site, and the books, are the result. Architecture of Intellect explains the engine, what large language models actually are, stripped of vendor mythology, and then asks the only question that matters: if the economy now moves in short waves of demand, what must an enterprise become to survive it? The answer isn't "add AI to what you have." The answer is an architecture built AI-Native from the first principle, and the book is where that argument starts.

A second book, on the full framework, is in progress.

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I take on selected advisory work, and I run a newsletter for readers who want the argument as it develops. If you disagree with any of it — good. That's what the comments are for.

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​Igor Ageyev

Enterprise Architect