AI & Operations
Why AI initiatives fail before the model is chosen
The most expensive AI mistakes often happen while defining the problem, not while training the model.
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The model is rarely the first decision
Teams often begin an AI initiative by comparing vendors, models, and technical benchmarks. But the work that determines success starts earlier: understanding the operating decision that needs to improve.
AI creates value when it becomes part of a better operating system—not when it remains a technology demonstration.
Start with the decision
Define who makes the decision, what information they need, how frequently it happens, and what a better outcome would look like. Only then should technology enter the conversation.
Design for adoption
A reliable workflow includes ownership, feedback, exceptions, measurement, and human judgment. That complete system is the product.