Articles about AI Strategy - practical insights for businesses leveraging AI.
AI Strategy
An AI readiness audit answers one bounded question and ends with a ranked plan. AI consulting is open-ended access to judgement. Most companies believe they need the second and actually need the first. Here is how to tell them apart.
AI Strategy
Hire a Head of AI when the work is permanent and central to the product. Take a Fractional AI Lead when you need senior judgement now, or cannot credibly interview for a role nobody internally has held. The deciding factor is not cost, and most companies get it wrong in the same direction.
AI Strategy
Most AI pilots end in admiration and no change. A proof of value is designed differently: it names the decision it serves, measures against a baseline, holds a threshold somebody signed, and is allowed to end early. Here is how to scope one in 30 to 90 days.
AI Strategy
Senior AI leadership is scarce, slow to hire, and easy to get wrong. A Fractional AI Lead gives you the ownership and accountability now, on a defined mandate. Here is what the role owns, how to structure it, and when you should hire permanently instead.
AI Strategy
Most AI business cases are approved on a number nobody tested. Here is how to validate a projected return before you build: a measured baseline, honest attribution, full lifetime cost, and why a fixed-fee scope keeps the answer honest.
AI Strategy
An AI data infrastructure assessment tells you whether your data can support the AI system you want to build: access, coverage, quality, labels, lineage, and the production serving path. Here is the checklist, the fast probes, and what to do when the answer is no.
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