Establish a common taxonomy and ownership model for AI costs across models, tokens, cloud, compute, infrastructure, platforms, vendors, users, applications, divisions, and cost centers. Produce recurring executive-ready analysis of actuals versus budget and forecast, including run-rate changes, anomalies, concentration risks, emerging cost drivers, and required actions.