Why this matters: AI agents don’t spend money the way traditional cloud services do. A single agent can call several models, make many LLM and tool calls in one session, and serve many users, so the bill depends on how agents behave, not on what’s provisioned. A provider invoice or cloud bill shows only a total. It doesn’t tell you which agent, use case or user is driving the cost, or whether that spend is paying off. These dashboards break agent spend down by agent, model and operation, follow it to individual sessions with their cost and ROI, and flag unusual spikes early. They also find AI workloads running outside managed tracking, so you can control spend you didn’t know about yet, not just the spend you already track.
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