Your company is spending a fortune on AI. Can you point to one dollar it brought back?Most leaders cannot. Enterprises are pouring millions into tokens, pilots, consultants, and platforms, and by the most credible measures, only a small fraction can attribute a measurable return to any of it. The spend is counted to the penny. The value is told as a story.The problem is not the model, and it is not the consultant. It is the layer nobody builds: the governance, the adoption, and the measurement that turn a raw capability into a result you can actually report.I Don't Know: AI is the executive's field guide to that missing layer. In plain language, for the people who decide where the money goes, it makes one argument and backs it with the evidence: AI is a capability you build around, not a product you buy. Then it hands you the playbook.Inside: - Why most organizations see no measurable return, and what the few who do build differently- Governance that lets you swap models without breaking delivery- A vendor-evaluation framework with the hard disqualifiers most buyers skip- Adoption treated as the product, and measurement a chief financial officer will trust- A 30-, 60-, and 90-day plan to close the gap in your own organizationThis is not a technical manual, and it is not hype. It is a calm, evidence-disciplined account from someone who has built enterprise AI platforms for a global firm operating in more than a hundred countries and turned that capability into a nine-figure pipeline.If you are tired of AI that demos beautifully and delivers nothing, start here.
AmazonPagina's: 285, Paperback, Independently published
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