In October, Gartner published its first Magic Quadrant for AI agent management platforms. It is the kind of report in which the firm compares the vendors in a category, and its debut shows the market now treats managing agents as a purchase of its own, separate from the tools that build them.
What the category covers
According to CX Today, Gartner defines these platforms as centralized tools for managing AI agents regardless of where they run. Microsoft, IBM and ServiceNow are the Leaders in this first edition, and the firm predicts that by 2029, 60% of AI agents will be managed through an agent management platform.
Commenting on the result, Microsoft says more than 50 million agents have been registered in Agent 365, its tool for the job, and sums up the idea: agents should be managed with the same rigor already applied to users, apps and devices.
Why it matters for companies
An AI agent is more than a chat: it queries systems, fills in records, sends messages and, in some cases, approves transactions. When a company goes from one or two agents to dozens, built by different teams, new questions come up:
- Which agents exist, who is accountable for each one and what can each one access?
- Which actions need a person’s approval before they happen?
- Where is the record of what each agent did, to audit and fix it?
- How much does each agent cost per month, and what does it deliver?
You do not need to buy a platform to start. A simple inventory, minimal permissions per agent, a log of actions and a spending cap already remove much of the risk. Gartner’s report is a sign that this care will soon stop being a differentiator and become something customers, auditors and boards expect.
GVolo teamPublished November 6, 2026