Your AI Agents Are Writing Checks You Can’t See
Somewhere in the depths of a company’s production environment, two AI agents are having a conversation. They’ve been at it for eleven days, and no one on the team knows. Those agents are working as designed, executing perfectly within their parameters, handing tasks back and forth, making API calls, querying models. By the time anyone notices, thousands of $$$ are gone.
Every individual action was rational, and the system behaved precisely as instructed. There was just nothing in the environment capable of asking whether any of it should be happening at that cost.
It’s that exact question (should this agent action happen at this cost?) that almost no enterprise can currently answer. But as agent after agent gets deployed, that gap is becoming the defining financial risk of the moment.
A cloud lesson, now running at machine speed
The pattern is familiar to anyone who lived through the early days...
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