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JUN 1, 2026 · 2 MIN · TOM BURG
StrategyContext layer

If you have a hundred use cases for AI, you have zero

I heard a line recently that has stuck with me. If you have a hundred use cases for AI, you have zero use cases for AI.

It sounds glib. It is not. It is the most common way I see AI programs die.

Death by democracy

Here is how it goes. A company decides to get serious about AI. Everyone gets a seat at the table. Sales wants a use case. Marketing wants one. Support wants one. Finance has three. Each one is reasonable on its own. Together they are a list of a hundred small projects, each needing its own tool, its own budget, its own owner, its own integration.

Nobody can fund a hundred projects, so the list gets debated instead of built. Six months later there is a lot of discussion and not much running. I have watched the CEO of a seven billion dollar company describe exactly this: plenty of aspiration, no plan that survives contact with his own org chart.

The use cases were never the starting point

The reason the list gets so long is that everyone is reasoning from the tool backward. What can a tool do for my team? Ask that a hundred times and you get a hundred answers.

Reasoning the other way around is simpler. Almost every one of those use cases needs the same thing underneath it: the AI has to know your business. Who the customer is, what was promised, what is approved, where the deal really stands. That knowledge is your context, and right now it is scattered across your CRM, your call recordings, your email, and a dozen Slack channels.

Put the context in one place the whole company can draw on, and you do not have a hundred problems anymore. You have one. Solve it, and most of the hundred use cases stop being projects and start being things you can just do.

Build the foundation, not the features

This is why we do not start an engagement by picking a use case. We start by building the context layer, the company's own memory, and wiring it into the tools you already use. Once that is in place, the workflows on top are easy to build and far more useful, because the AI already knows your business before anyone writes a prompt.

The teams that win are not the ones with the longest use-case list. They are the ones who built the foundation first and let the use cases follow.

Next

Bring a real piece of work. We will map it against the parts.