Ownership and Stakeholder attributes for the AI Agents Inventory - AI Agents Inventory and Attributes

Ownership and Stakeholder attributes for the AI Agents Inventory

(Chapter 12 of AI Agents Inventory and Attributes)

Executive Summary: Chapter Overview

IF4IT

The Bottom Line

Ownership attributes answer the two questions every autonomous agent must have answered before anything goes wrong: who is accountable for it, and who can stop it. They name the business and technical owners, the subject-matter experts, the escalation path, and — uniquely for agents — a named stop authority.

Core Concepts

Concept	Definition & Strategic Role
Accountable owner	The named individual answerable for the agent’s behavior and governance, not a committee.
Stop Authority	The named person or role with the standing right to halt, pause, or roll back the agent in production.

Quick Q&A

Question: What ownership does an AI agent need that an application does not?

Answer: A named stop authority. Because an agent acts on its own, someone must hold the explicit, standing authority to halt it in production — assigned in advance, as an attribute, not improvised during an incident.

Ownership and stakeholder attributes assign accountability for each agent — including who owns it, who supports it, and who can stop it.

Attribute Name	Maturity	Description and Notes
Business Owner	Crawl	Description — The individual or function accountable for the agent’s purpose, value, and business outcomes. Benefit(s) — Establishes business accountability and a decision-maker for the agent’s continued operation. Source — Manual. Notes — Resolve to a Person Semantic ID as the People and Personnel Inventory matures.
Technical Owner	Crawl	Description — The individual or team accountable for the agent’s configuration, operation, and maintenance. Benefit(s) — Gives operations and security a named contact for changes, incidents, and reviews. Source — Manual.
Accountable Individual	Crawl	Description — The single named person ultimately answerable for the agent’s conduct — the point of accountability for regulators and auditors. Benefit(s) — Prevents the diffused accountability that leaves autonomous agents effectively unowned. Source — Manual. Notes — Required for external-facing and higher-autonomy agents.
Subject Matter Expert(s) [Multi-Value]	Walk	Description — People with deep knowledge of the agent’s domain, behavior, or implementation. Benefit(s) — Speeds triage, review, and improvement; supports Catalog knowledge exploration. Source — Manual. Examples — Jane Doe; John Smith
Stop Authority	Crawl	Description — The named person or role with the standing authority to halt, pause, or roll back the agent in production. Benefit(s) — Makes the operational test of real governance explicit — someone can stop the agent, and everyone knows who. Source — Manual. Notes — Paired with the kill-switch mechanism in Autonomy and Behavioral Controls.
Escalation Path	Walk	Description — Where the agent escalates, and to whom, when it hits a boundary or a case it should not handle autonomously. Benefit(s) — Ensures human judgment is reachable at the moments that matter. Source — Manual.

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