Long-form writing on enterprise AI transformation, agent governance, operating model design, data strategy, and the measurement architecture that makes any of it work. Authored by Enrique Guitart.
Most organizations that need AI leadership cannot justify a full-time hire yet. A fractional Head of AI fills the gap between a consultant who leaves a deck and a full-time executive who takes six months to find. Here is what the role actually looks like from the inside.
Read articleI spent the past year running an enterprise AI portfolio at a Fortune 500 organization while completing executive AI programs at MIT Sloan and the University of Miami Herbert Business School. The fieldwork taught me most of what I know. The academic work validated the two things that turned out to matter most: data strategy and governance.
Read articleFive years ago the cloud conversation was settled. Nobody serious was moving workloads back on premise. That consensus still holds for most of the enterprise stack. But there is a set of forces accumulating around the AI layer that could reopen the question for a narrow set of workloads in the next two to three years. This is not a recommendation. It is a set of observations worth tracking.
Read articleThe real story in AI agents is not that they can now act. It is that action is becoming a baseline capability. Once that is true, the differentiator moves somewhere much harder and much more valuable.
Read articleOpenAI shipped GPT-5.3 Instant last week and a lot of enterprises that had agents running on the previous default woke up to find that something in their production workflows had quietly changed. That is not a complaint about OpenAI. That is a symptom of how enterprises are handling model upgrades, which is to say, they are not handling them at all. Here is the discipline I think every serious enterprise AI program has to adopt.
Read articleA lot of exec conversations are still framed as "how do we use AI." That framing is already a year behind. The real conversation is about execution agents, operating model, and how the SaaS stack you bought last decade is about to split in two.
Read articleMost enterprises I talk to are buying AI tools. The ones that are actually moving are building something different, an operating system that coordinates agents, governance, and humans into a single runtime. The distinction matters because AI maturity is governance maturity, and governance is what separates AI theater from AI that runs in production.
Read articleOracle's AI Agent Memory announcement last week is the most important enterprise AI product launch most people missed. The real story is not the feature. The real story is that agent memory has quietly become a system of record, and most enterprises are running it without a single one of the controls they would demand of any other system of record in the house.
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