Practical thinking on AI, succession, marketing, and the systems underneath, drawn from the work we do with owner-led companies.
Most small-business AI dies in a committee. The ones that work start as a working prototype you can click in days.
Read →The biggest AI return in a small business usually isn't a product. It's the repetitive work nobody wants to do.
Read →Before AI can help, it needs something clean to work with. Most of the hard part is the data, not the model.
Read →Two companies can post identical numbers and sell for wildly different amounts. The gap is transferability.
Read →Most owners think about selling far too late. Value is built in the years before the conversation, not at the table.
Read →Campaigns go out, the site gets refreshed, and still no one can say which of it produced a customer.
Read →Positioning isn't a logo exercise. Done right, it's the cheapest way to make every other marketing dollar work harder.
Read →When three systems disagree, every meeting starts with an argument about whose number is right. It doesn't have to.
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