ChatGPT now features workspace agents

If your team spends hours each week stitching together repetitive tasks across different tools, ChatGPT's workspace agents may be worth a close look. Built on OpenAI's Codex technology, these agents work in the cloud to take on multi-step workflows, connect with your existing apps, and let teams hand off busywork to AI in a controlled, secure way. This article explains what workspace agents are, how they operate, and what they mean for how teams get work done.

What Exactly Are Workspace Agents?

Workspace agents are a step beyond the familiar chatbot experience. Instead of simply answering questions, they carry out tasks on your behalf. Under the hood, they run on Codex, the same engine behind OpenAI's coding agent, which gives them the ability to reason through multi-step problems, write and run code, and interact with external tools.

The key idea is delegation. Rather than asking ChatGPT to draft something and then manually moving it into your project tracker, you describe the outcome you want and let the agent handle the steps in between. Because the agents run in the cloud, work continues even when you close your laptop, and results wait for you when you return.

How They Fit Into Team Workflows

The real appeal shows up when multiple people and tools are involved. A workspace agent can pull information from connected applications, process it, and push results where they need to go. Common use cases include:

• Compiling status reports from several project sources
• Cleaning and summarizing data before it reaches a spreadsheet
• Drafting documentation based on activity across your tools
• Handling routine code-related tasks that would otherwise interrupt engineers

Because the agent works within your workspace rather than as a standalone tool, everyone on the team benefits from shared context. You are not each configuring your own automation from scratch.

Security and Control

For any team considering automation, the first question is usually about safety, and this is where workspace agents put a lot of emphasis. OpenAI positions these agents as a way to scale work "securely," which translates into a few practical protections.

Admins control what agents can access and which tools they can connect to. Agents operate within defined permissions rather than with blanket access, so teams can start small and expand as trust grows. Since everything runs through the workspace, activity is visible to the organization rather than scattered across personal accounts. This matters for companies with compliance requirements or data-handling policies that forbid unsanctioned AI tools.

That said, teams should still review what an agent did before accepting its output, especially for tasks involving sensitive data or customer-facing content.

Why Running in the Cloud Matters

It might sound like a technical footnote, but the cloud execution model changes how you work with agents. A traditional chat session ends when you close the tab. A workspace agent, by contrast, keeps working on its assigned task in the background.

This has two practical consequences. First, long-running tasks, like processing a large dataset or working through a multi-part analysis, no longer block you or risk being cut off. Second, team members can queue up work and check back later, which fits naturally with how distributed teams already operate across time zones.

Getting Started

Adopting workspace agents does not require an engineering background. The general approach looks like this:

1. Confirm your plan includes workspace agent features and that your admin has enabled them.
2. Connect the tools your team already uses, starting with one or two.
3. Describe a task in plain language, including the desired outcome and any constraints.
4. Review the agent's work before it is finalized or shared.
5. Iterate on your instructions as you learn what the agent handles well.

Start with low-stakes tasks while you build confidence, then move toward workflows with more impact.

The Bottom Line

Workspace agents represent OpenAI's push to turn ChatGPT from a conversation tool into a working teammate. Powered by Codex and running securely in the cloud, they give teams a way to delegate multi-step work across their existing tools without building custom automation from the ground up. For teams drowning in repetitive coordination, they are a practical place to start exploring agentic AI.