Writing for leaders and business owners weighing up AI: what actually works, what to be wary of, and how to make a sensible first move. Operations first, technology second.
The headline that around 95% of AI projects fail is being used to justify standing still. Where the number really comes from, and what the firms that do see a return do differently.
Read the articleStart from the problem, not the tool. A repeatable way to pick AI tools: the four classes, why buy beats build, the data tier, and proving it on one small pilot.
Read the articleTrying AI is not the same as having a strategy. What the failure numbers really measure, and how to turn scattered experiments into one designed, owned workflow.
Read the articleYou cannot keep up with the AI market, and you do not need to. A calm, repeatable way to choose tools without chasing every release.
Read the articleThe technology is the easy part. What decides whether adoption works is a set of judgement calls about your operations, which a small firm can make better than a large one.
Read the articleThe quiet fear is that AI trades craft for speed. Point it at the drudgery rather than the craft, and it protects what makes your firm distinctive instead of flattening it.
Read the articleIf something here lands close to where you are, a no-obligation discovery call is the simplest next step.
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