Question 1

What is agent ROI?

Accepted Answer

Agent ROI refers to the return on investment an organization gets from deploying AI agents, measured by comparing the value they generate (such as time saved, cost reduced, productivity gained, or revenue influenced) against the costs of building, running, and maintaining them (including development, infrastructure, licensing, and oversight). It helps organizations determine whether their AI agents are delivering enough value to justify their expense and ongoing investment.

Question 2

What is agent sprawl?

Accepted Answer

Agent sprawl is the uncontrolled growth of AI agents across an organization, deployed by different teams or tools without central coordination or oversight. Over time, this leads to duplicated agents performing similar tasks, inconsistent permissions and security settings, unclear ownership, and difficulty tracking which agents exist, what data they can access, and what actions they're taking.

Question 3

What is agent governance?

Accepted Answer

Agent governance refers to the set of policies, processes, and controls an organization puts in place to manage how AI agents are built, deployed, and used. It covers areas such as defining who can create or access agents, setting permission and security standards, monitoring agent behavior and performance, ensuring compliance with regulations and internal policies, and maintaining accountability for the actions agents take. The goal is to keep AI agent usage consistent, secure, and aligned with organizational standards as adoption grows.

Question 4

What is an Agent Management Platform (AMP)?

Accepted Answer

An agent management platform (AMP) is a centralized system that helps organizations build, deploy, monitor, and control AI agents across the business. It typically provides tools for tracking which agents exist, managing their permissions and access to data, monitoring their performance and behavior, enforcing security and compliance standards, and providing visibility into how agents are being used. The goal is to give organizations a single place to oversee their AI agents as adoption scales, rather than having them managed separately and inconsistently across different teams and tools.

Question 5

Can you roll back an AI agent's action?

Accepted Answer

Yes. Rolling back an AI agent's action means undoing what it did to a live system, configuration, data, transactions and access changes, and reconstructing exactly why it acted (behavioral root-cause analysis). Combined with a kill-switch and blast-radius limits, rollback lets enterprises run agents on production without fear of irreversible damage.

Question 6

What is agent observability?

Accepted Answer

Agent observability refers to the ability to monitor, track, and understand how AI agents are behaving and performing in real time. It involves collecting data on what actions agents take, what decisions they make, what resources or data they access, and how they respond to different inputs. This visibility helps organizations detect errors, identify unexpected behavior, troubleshoot issues, measure performance, and ensure agents are operating as intended as they are deployed and scaled across the business.

The enterprise guide to managing AI agents.

Definitions

Guides

A–Z of agent terms.