The AI-native GCC has a new test, and it is not headcount
In a factory, an AI recommendation is only as valuable as the decision it helps an operator make. A system may analyse machine data, identify a potential problem and suggest a corrective action. Getting a plant to trust that recommendation enough to act on it is a different challenge altogether.
That tension is becoming central to industrial AI, where the consequences of a wrong decision can extend beyond software performance to production losses, product quality and plant operations. It also raises a larger question for global capability centres. As AI accelerates engineering and allows smaller teams to accomplish more, will a GCC’s value be measured by the number of people it employs or by the complexity of the problems it can solve?
At Augury, an industrial AI company focused on machine health and manufacturing operations, that question is playing out in both product development and the company’s expansion in India....
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