AI Agents Inventory and Attributes

The relationship is one of consumption: every AI agent is built on and driven by a model governed in the AI and Machine Learning Models Inventory, which is authoritative for the model’s identity, capabilities, and lifecycle. The AI Agents Inventory references the model rather than describing it — the model is a distinct Noun Type, and one model can drive many agents. The AI and Machine Learning Models Inventory is not yet published; until it is, refer to the IF4IT Enterprise Inventory Management Best Practices document for its current definition.

The connecting attributes are the agent’s Underlying Model and Model Version in the Technical category, and its Model Provider in the Vendor and Supplier category. Together they resolve each agent to the exact model and version it runs on and the vendor that supplies it.

Maintaining this relationship lets the enterprise answer questions neither inventory can alone: which agents would be affected if a model is deprecated or found unsafe, where model-vendor concentration sits across the agent estate, and how a model’s risk rating rolls up into the risk of every agent built on it. Without it, a model change is a blind change.