Articles about AI Strategy - practical insights for businesses leveraging AI.
AI Strategy
Choosing an EU AI Act compliance consultant starts with knowing what you need: legal interpretation, technical evidence, a tracking tool, or several. A credible provider inspects your actual systems and delivers a role matrix, a gap register, owners and a prioritised remediation roadmap.
AI Strategy
An EU AI Act gap analysis compares the obligations that apply to each of your AI systems with the evidence you can produce today. Done properly, it delivers an inventory, a role and risk classification, an evidence register, a gap matrix and a remediation roadmap with owners and dates.
AI Strategy
Nearly every EU AI Act obligation attaches to either the provider or the deployer of a system, so the role decides whether you are writing technical documentation or assigning human oversight. It is decided per system, and branding or modifying a bought-in system can turn a deployer into a provider.
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.
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