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This paper describes an architecture that uses Augmented Reality (AR) and Artificial Intelligence (AI) as part of a planned network maintenance or upgrade to reconcile the physical network with planned inventory. A new inventory architecture is proposed in which AR is used to capture images of network devices, seamlessly and unobtrusively, in the field during regular maintenance tasks, which are then analyzed using AI to update the inventory. It also describes how technicians are assisted in verifying that a task was performed correctly.