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BCG puts about 70% of AI value in people and process, which is the part training exists to change, so the trainer you pick matters more than most AI decisions. This scores one thing above all: whether the trainer has built and deployed AI in a real organisation, or has only ever taught it. You get a verdict and a one-pager.
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BCG's rule of thumb puts about 10% of AI value in the algorithms, 20% in the technology, and the other 70% in people and process, which is what training is meant to change. Pick the wrong trainer and the largest share of the budget buys nothing that changes how anyone works. AI-washing is not only a vendor problem: the FTC's Operation AI Comply named a fake AI lawyer and AI-branded schemes, the same misrepresentation at individual scale, and a large following is not evidence that someone has built anything. So this weights delivery above everything: a trainer who has shipped AI in production earns marks, and a pure trainer who has never implemented it loses them.
Sources: BCG 10-20-70 (about 70% of AI value is people and process, the target of training); MIT NANDA, State of AI in Business 2025 (95% of GenAI pilots show no measurable P&L impact); FTC Operation AI Comply (September 2024) (a fake "AI lawyer" and AI-branded schemes, the individual form of AI-washing).
Free. Your name and email open the full verdict, a hype and red-flag check, the questions to ask next, and a downloadable one-pager.