How FinOps Must Evolve for the Agentic Era of AI

Traditional FinOps approaches fail with autonomous AI agents because a single prompt can trigger dozens of model calls, database queries, and API requests without human intervention. Agentic FinOps shifts from reactive cost monitoring to real-time autonomous systems that allocate, govern, and optimize AI spending as it happens, addressing new cost drivers like token consumption, GPU training, reasoning loops, and multi-provider API calls that legacy tools cannot track effectively.