Claude Partner NetworkOfficial Anthropic partnerQuestions from CEOs

What is an AI agent, in business terms?

Strategy, growth and risk. Straight answers, written for executives.

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Short answer

An AI agent is software that carries out a business task end to end: it reads the inputs, decides the next step within rules you set, acts in your systems and hands exceptions to a person. Unlike a chatbot, it does work; unlike traditional automation, it handles messy inputs such as emails, PDFs and calls.

The longer answer

What to consider.

Think of an agent as a new team member assigned to one process, such as qualifying inbound leads or matching invoices to purchase orders. It works inside the tools your people already use and follows the same approval rules.

What makes it different from the automation you already have is judgment on unstructured information. A rules engine breaks when a supplier changes its invoice layout; an agent reads the new layout, flags what it is unsure about and keeps going.

What it is not: a replacement for accountability. The process owner still owns the outcome, and the agent's autonomy is set by you.

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Before the build

Discovery with a written exit

Scope, success metric and kill criterion agreed in writing before any code. If the case doesn't hold up, you stop there.

Before it acts

Shadow mode first

The agent runs next to your team without touching anything. You compare its decisions with your people's before it goes live.

While it runs

Your people approve

Supervised by default: every high-impact action has an approver, an audit trail and a kill switch your business team controls.

Your environment

Your cloud, your data

Deployed in your cloud or an isolated environment, models under no-training terms. AWS and Google Cloud certified partner.

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