The most common reason AI initiatives fail isn’t technology — it’s the decision made in the first meeting. Businesses start with a tool instead of a problem. They ask “how do we use AI?” instead of “what specific outcome do we need that we can’t achieve today?” That inversion costs companies millions and months. Here’s what the starting question should actually be.
80% of AI project time is spent preparing data, not building AI. Most businesses don’t know this until they’re three months into an engagement. What “AI-ready data” actually means and how to get there faster than you think.
The most common AI marketing mistake: using AI to produce more content faster. The brands winning with AI marketing aren’t publishing more — they’re making every touchpoint more relevant. The difference matters more than most CMOs realise.
Every AI initiative faces this decision. The wrong choice costs you 18 months and vendor dependency you can’t escape. The right framework for thinking through build vs. buy — and the questions most businesses forget to ask.
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