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Case study · Fortune 1000 enterprise

How a Fortune 1000 enterprise built one record of its AI estate

9.5M observations and 6M traces a month from 170+ agents, all in one record.

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All customer stories
9.5M

observations a month: individual model calls, tool calls and steps

6M

traces a month: end-to-end AI requests and agent runs

170+

AI agents in production, each with an owner, a cost and a risk score

The challenge

AI arrived faster than IT could catalogue it: browser and desktop assistants, coding assistants, and agents on cloud AI platforms. Security tools saw network traffic, not AI activity with a person attached. The CIO’s office couldn’t say which AI was in use, who used it or what it cost, and the board was asking.

The solution

The company made ANTS Platform its system of record for AI. The Endpoint AI Agent and browser extension inventory AI tools; SDK and OpenTelemetry instrumentation captures traces from agents and AI apps. Every event is tied to a named user and department. Discover AI keeps the inventory current, Gauge AI shows where AI is working, and the AI Agent Center gives every agent a cost, a risk score and an owner.

The results

  • 9.5M observations and 6M traces a month from 170+ agents in one record, each linked to an owner, a model and a cost.
  • 4 weeks from kickoff to the first complete AI inventory.
  • Complete visibility of AI agent ownership: every one of the 170+ agents has a named owner.