The Bottom Line: Companies lack active monitoring of their AI costs; spending control begins only at monthly billing.
According to an analysis by consulting firm KPMG, most companies operate their AI spending without adequate cost controls and only discover the financial extent of their AI investments at monthly billing.
Consulting firm KPMG has documented that companies do not actively monitor their AI spending and only face the actual costs at billing time. This is particularly true for implementations of models like Claude, where precise cost development cannot be tracked in real time.
Finance departments are signalling a need for action: they are demanding better tools for cost visibility and budget controls. The lack of oversight over AI spending creates difficulties in budget planning and can lead to unexpected cost increases that cannot be identified in time.
For Chief Data Officers, this becomes an operational challenge: they must navigate between the requirements of business units – which want to deploy AI models as flexibly as possible – and the cost control requirements of the finance function. A structured cost-tracking infrastructure is needed to serve both sides.
Source: borncity.com · Published 9 June 2026
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