5 Reasons AI Costs Don't Add Up (And How to Fix It)

A guide for Finance teams on why tagging, SDKs, and gateways can't keep up with AI spend, and what actually fixes it.

Every enterprise is spending on AI. Almost none can show proof of return. Standard cost attribution methods were built for infrastructure that holds still. AI infrastructure never does. This guide breaks down the 5 reasons your AI costs don't add up, and the measurement layer that actually solves it.

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Written by

Eduardo Mota, Sr. Cloud Architect III
Eduardo Mota is a Senior Cloud AI Architect at DoiT, specializing in GenAI and data platforms on AWS and Google Cloud. He speaks at Google Cloud Next and AWS Community Days, and teaches O'Reilly and Udacity courses on RAG and agentic AI systems.