OpenAI introduced workspace agents in ChatGPT, shared agents that help teams automate complex tasks and long-running workflows within organizational permissions and controls. The product extends the idea of GPTs, but the emphasis is stronger on shared use, cloud execution, and work across real business tools.
According to OpenAI, workspace agents are powered by Codex and can handle tasks people already do at work: preparing reports, writing code, responding to messages, collecting context from systems, and drafting next steps. Because the agents run in the cloud, they can continue working even when the user is not actively in the session.
The important shift is from one-off AI help to repeatable workflows. Many company processes depend on shared context, handoffs, approvals, and decisions across teams. Workspace agents are designed for that environment: they can gather the right context, follow team processes, ask for approval when needed, and keep work moving across connected tools.
OpenAI gives a sales example. An agent can pull details from call notes and account research, qualify new leads, and draft follow-up emails inside a rep’s inbox. That scenario explains why organizational permissions matter: the agent works with sensitive business context, but it has to do so within controlled boundaries.
Users can start from the Agents section in the ChatGPT sidebar, describe a workflow their team repeats often, and let ChatGPT guide them through turning it into an agent. Workspace agents are available in research preview for ChatGPT Business, Enterprise, Edu, and Teachers plans. OpenAI also notes that GPTs remain available while teams test the new agent model.
For the enterprise market, this is a meaningful shift in how ChatGPT is positioned. GPTs were closer to personalized assistants and specialized configurations, while workspace agents move ChatGPT toward operational automation. The important questions become who can create an agent, who can use it, what actions it can take, and how the organization controls process changes.
The research preview status is also significant. OpenAI is testing how teams build and share agents inside controlled workspaces without breaking access policies. Companies should start with limited repeatable processes where time savings and output quality can be measured before broader rollout.
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