A client shared something with me recently that I’ve been thinking about ever since.
They had started using AI internally to work through a strategic question. They gathered their notes, added context, and ran a series of prompts. What came back was impressive—clear structure, thoughtful framing, and language that felt polished and complete. It looked like a strong work product, the kind of thing you would expect at the end of a consulting engagement.
So they moved forward.
A few weeks later, the conversation had shifted. The plan was not sticking. The team was not aligned. Pieces of it were being interpreted differently across the organization, and in some cases, not being used at all.
Their question became simple: “Why isn’t this working?”
There is a growing narrative that AI is replacing consulting. That has not been my experience. What I am seeing, however, is a shift in which parts of the work are becoming easier—and which parts are being exposed.
AI is very effective at generating structured, well-written outputs. It can synthesize inputs, organize ideas, and produce something that feels complete very quickly. But a strong work product does not mean the work is done. In many cases, it means the work is just beginning.
In this case, the challenge was not that the ideas were wrong. Many of them were directionally sound. The challenge was everything around those ideas: what they actually meant for day-to-day operations, where the tradeoffs lived, who understood them, what needed to change, and who owned each piece moving forward.
AI can help generate a plan. It does not account for the complexity of carrying that plan through an organization with real people.
Most teams do not struggle with a lack of insight. They struggle with what happens between deciding what to do, actually doing it, and doing it well. That is where good ideas stall, not because they are wrong, but because the work required to embed them was never fully addressed.
AI is making this gap more visible.
Teams can now generate what looks like a finished product in a fraction of the time they previously spent doing the same task. There is a sense of progress, and often confidence, that comes with it. But speed at the beginning does not remove friction at the end. In some cases, it increases it.
The shift is not away from consulting. It is back toward the parts that have always required human judgment: deciding what actually matters in context, aligning people with different perspectives and incentives, translating strategy into something that works in practice, and staying engaged long enough to adjust when reality pushes back.
These are not problems of information. These are problems of execution.
That is where we have been spending our time, helping teams move from “this looks right” to “this is actually working,” supporting leaders as they make decisions, align their teams, and translate those decisions into something that holds up in practice.
A well-written plan does not create change on its own. The organization does.
And in a moment where outputs are easier to generate than ever, that distinction matters more than ever.
