ARTICLE
Why ITAM and SAM Teams Should Own the AI Agent Inventory
By Nahteava
September 21, 2026
AI agents should be managed as assets. If an agent can access company data, connect to business systems, act, or interact with employees and customers, it needs its own identity, owner, permissions, and lifecycle. Without those basics, an organization cannot reliably explain what the agent does, who approved it, or whether it should still be running.
That makes agent governance a natural extension of IT asset management and software asset management. ITAM and SAM teams already know how to discover assets, maintain accurate records, assign accountability, and retire technology that no longer serves the business. AI introduces a new asset class, but it does not erase the value of those disciplines.
The immediate problem is agent sprawl. Agents can be created quickly by individual employees or business units. They may be built on one platform, published through another, connected to sensitive information, and left running after the original owner changes roles. Several departments may also create separate agents for the same task without knowing similar tools already exist. This is resolved by policy plus inventory.
What Belongs in an Agent Inventory
At a minimum, every agent should have a stable name and identifier, a named owner, a record of where it was built, and the location where users access it. The inventory should also show whether the agent is in draft, active, deprecated, or retired status, along with the population approved to use it.
Technical metadata is mandatory while governance requires information that a platform cannot determine on its own. Each agent needs a stated business purpose. The record should identify the type of data the agent can access and document how its use was approved. It should also include a retirement trigger, so the agent does not remain active indefinitely because nobody remembers creating it.
This is where ITAM and SAM experience become especially valuable. These teams understand that an inventory is not a spreadsheet completed once and filed away. Assets change ownership. Usage declines. Permissions expand. New versions appear, and business needs to move on.
Agents will follow the same pattern, except they may also read company data, write to connected systems, initiate actions, or communicate with people outside the organization. An outdated software record creates waste. An outdated agent record can create a much larger governance problem.
Build Governance Around What Actually Exists
Rather than inventing an entirely new operating discipline for AI agents, organizations need to extend the disciplines they already trust.
That begins with discovery. ITAM and SAM teams should work from the same register as security, compliance, identity, and business owners. Those groups need a regular review process for resolving ownership gaps, investigating unexpected usage, removing unnecessary access, and retiring agents that no longer have a defensible purpose. The overall goal is to prevent speed from becoming the organization’s default governance model.
Nahteava helps organizations build AI governance from what actually exists. We can conduct an initial agent inventory, define the information your register should contain, and connect agent lifecycle decisions to your existing ITAM and SAM processes. We also help establish the ownership model and cross-functional review schedule needed to keep that inventory accurate.
If your organization is piloting AI agents or already suspects they are appearing faster than anyone can track, now is the time to act. Contact Nahteava to schedule an AI readiness and agent inventory assessment while the population is still small enough to bring under control.