AI Agents Inventory and Attributes

About This Inventory

The AI Agents Inventory is the enterprise’s governed record of its AI agents — autonomous, model-driven software actors that take consequential action, or communicate, on the enterprise’s behalf, each under its own non-human identity. This document is a companion to, and an operational extension of, the Enterprise AI Governance Best Practices document: that document establishes how an enterprise governs its use of AI, while this inventory is the governed record of the individual agents to which that governance must be applied. A single record represents one such agent — part deployed application (versioned, owned, and hosted) and part digital worker (with an identity, a role, access, training, and accountability) — distinct from the AI and Machine Learning Models Inventory, which governs the models an agent is built on, and from the Applications Inventory, which governs the software an agent may be embedded in or act upon.

Document Organization

This document is organized into attribute categories, each forming its own subsection. Each subsection contains one chapter with an attribute table. The attribute table has three columns: Attribute Name, Maturity, and Description and Notes. The Attribute Name column uses bold black text in Title Case — multi-value attributes append [Multi-Value] below the name, and hierarchical attributes append [Hierarchical]. The Maturity column contains one of three values: Crawl (minimum viable attributes without which the inventory cannot function as a governance instrument), Walk (attributes that add the rigor needed for assessment, rationalization, and financial analysis), or Run (attributes that enable advanced analytics, AI-assisted portfolio intelligence, and cross-inventory derivation). The Description and Notes column is structured into labeled subsections: Description — what the attribute captures; Benefit(s) — the governance value it produces; Source — whether the value is Manual, Derived from another inventory, or Calculated; Examples — concrete sample values where format or convention aids understanding; and Notes — implementation guidance, valid values, or connections to other inventories, omitted when nothing meaningful to add. The attributes shown represent the IF4IT’s current best thinking for governing the AI Agents Inventory — a suggested baseline, not a complete enumeration. Practitioners will encounter attributes in their own implementations that are not listed here and are encouraged to add them. No attribute in this document is mandatory.

General Governance Principles

For the general inventory governance principles that apply to this inventory — including semantic identifier conventions, data quality standards, owner accountability, lifecycle management, AI-assisted population, and the connection to the Enterprise Model — refer to the IF4IT Enterprise Inventory Management Best Practices document.

Customization

Every attribute in this document is a recommendation — not a mandate. Enterprises are explicitly encouraged to add attributes specific to their context, rename attributes to match their existing vocabulary, adjust valid value sets to match their organizational standards, collapse or expand attribute categories for their tooling, and sequence Crawl/Walk/Run adoption differently based on their priorities. Three things are discouraged: removing foundational Crawl attributes entirely, since portfolio governance consistently fails without them; ignoring the Source designation for Calculated and Derived attributes, since manually entering system-populated values creates data quality problems that compound over time; and abandoning the Semantic Identifier convention, since it is the connective tissue that makes cross-inventory traversal and AI-assisted analysis possible in the Enterprise Model.

Tooling Guidance

The Crawl/Walk/Run maturity tagging in this document applies not only to which attributes to collect but also to what tooling is appropriate at each stage. At Crawl maturity, a well-structured shared spreadsheet is a completely acceptable starting point for this inventory. A spreadsheet with the Crawl-tagged attributes populated for every known Noun Instance is more valuable than a sophisticated inventory management tool with no data in it. At Walk maturity, a lightweight database or a basic configuration-item structure within an IT service management platform provides the query, filter, and reporting capabilities that spreadsheets make difficult at scale. At Run maturity, a dedicated inventory platform, an IT asset or portfolio management module of an existing enterprise platform, or a custom data store integrated with the Enterprise Model supports full API connectivity, automated derivation of calculated attributes, and real-time cross-inventory relationship traversal. Governance discipline and data quality matter far more than tooling sophistication — particularly at Crawl and Walk maturity.

The Enterprise Model

This inventory is a component of the Enterprise Model: every record in it, and every attribute of every record, contributes to the enterprise intelligence platform that connects every IT Management discipline — APM, TPM, Enterprise Architecture, IT Operating Environments, and all others — through the typed relationships of the Enterprise Ontology.

Suggested Baseline

The content of this document — including all attribute categories, attribute definitions, maturity designations, governance guidance, and structural recommendations — represents the IF4IT’s current best thinking for building and governing an AI Agents Inventory. Everything presented here is a suggested baseline, not a mandate. No attribute is required. No category is mandatory. No structural pattern is enforced. Enterprises are explicitly encouraged to adapt, extend, and reshape everything in this document to match their specific context, vocabulary, regulatory environment, industry, and organizational maturity. The IF4IT does not guarantee that the attributes and guidance presented here are complete, exhaustive, or applicable to every enterprise in every context. Practitioners are the experts in their own organizations — use this document as a starting point, not a ceiling.