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The article addresses the operational shift required to scale AI agents from isolated experiments into sustainable business capabilities, emphasizing rigorous cost modeling and financial governance. It argues that organizations must treat agent development as a continuous discipline with measurable unit costs rather than one-off projects, directly impacting how AI infrastructure is funded and managed at scale.
Stop treating agents as one-off projects and start running them as a continuous discipline

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