A Six-Step Framework for Auditing Enterprise AI Agents
The pattern repeats across large companies. A year of enthusiasm produced agents everywhere. One team built an agent to summarize tickets. Another built a near-identical one. A third wired an agent into a workflow, shipped it, and moved on, and now nobody owns it. Each agent calls a model, so each one has a bill and a data path, and most of them were never inventoried.
This is shadow IT with a meter running. The unmanaged spreadsheets and rogue apps of the last decade did not bill you per use. Agents do. Every redundant agent is a recurring token cost and a governance exposure, and the more of them you have, the more of both you carry.
I run cost and governance on enterprise Salesforce programs, where unmanaged anything turns into revenue leakage. On the T-Mobile CPQ and CLM work I lead through Mphasis, the savings come from controlling sprawl:...
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