Insights
Most AI implementation advice comes from people who sell the frameworks. These articles come from someone who had to make them work.
AI pilots succeed at a rate that production deployments don't. The gap isn't technical, it's structural. And most organizations don't see it until the budget cycle has already closed.
Most AI privacy programs protect data at rest and in transit. The actual exposure in production AI systems happens somewhere else entirely — at the point where data crosses into a model and comes back out as output.
AI-readiness assessment frameworks promise a universal bar that doesn't exist. Readiness depends entirely on the use case, the technique, and the constraints. The implications for AI strategy and preparedness is significant.
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