Every month the AI invoice climbs. New projects, new agents, new experiments. Everyone says that is just growth.

Ask one question. Which workflows burned this money? Most teams cannot answer.

You know your total tokens and total spend. You do not know which prompts are the noisiest, which agents are retrying failed calls fifty times a day, or which internal tool is quietly consuming more budget than the customer-facing product.

This episode walks through where AI costs actually hide in production. Why vendor dashboards show consumption without attribution. How debug modes, retry loops, and power users drive invoices up without anyone noticing. What cost attribution at the workflow level actually requires. And why your CFO is going to ask for it before your engineering team is ready to answer.

This is Maya. New episodes three times a week.

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