When a growing business decides to “do AI,” the instinct is to hire. An AI engineer, a data scientist, maybe a whole team. It feels like progress.
But here’s what actually happens: the engineer arrives, looks around for a problem to solve, and starts building something interesting — that may or may not connect to revenue, efficiency, or any decision the business actually makes.
AI consulting comes first. Not because consultants are smarter than engineers, but because the question “what should we build?” is harder and more important than “how do we build it?” A readiness audit identifies where AI actually moves the needle in your business — and, just as importantly, where it doesn’t.
The right sequence is: strategy, then infrastructure, then agents, then optimization. Hiring an engineer before you’ve answered the strategy question is how AI pilots die.