챗GPT, 팀용 '워크스페이스 에이전트' 공개

April 22, 2026 Product Introducing workspace agents in ChatGPT Codex-powered agents for teams. Learn more Contact sales (opens in a new window) Loading… Share Today, we’re introducing workspace agents in ChatGPT. Teams can now create shared agents that handle complex tasks and long-running workflows, all while operating within the permissions and controls set by their organization. Workspace agents are an evolution of GPTs. Powered by Codex, they can take on many of the tasks people already do at work—from preparing reports, to writing code, to responding to messages. They run in the cloud, so they can keep working even when you’re not. They’re also designed to be shared within an organization, so teams can build an agent once, use it together in ChatGPT or Slack, and improve it over time. AI has already helped people work faster on their own, but many of the most important workflows inside an organization depend on shared context, handoffs, and decisions across teams. Workspace agents are designed for that kind of work: they can gather context from the right systems, follow team processes, ask for approval when needed, and keep work moving across tools. For example, our sales team at OpenAI uses an agent to pull together details from call notes and account research, qualify new leads, and draft follow-up emails right in a rep’s inbox. It helps account teams spend less time stitching together details and more time with customers. To get started, click Agents in the ChatGPT sidebar and describe a workflow your team does often. ChatGPT will guide you step by step to turn it into an agent. Workspace agents are available in research preview in ChatGPT Business, Enterprise, Edu, and Teachers plans. Editor’s note: GPTs will remain available while teams test workspace agents with their workflows. Soon, we’ll make it easy to convert GPTs into workspace agents. Build a powerful workspace agent in minutes Turn sound on for guided walkthroughs of five agents your team can build today. A software review agent that triages software requests, enforces policy, routes approvals, and opens IT tickets with clear next steps. A product feedback routing agent that captures feedback from Slack, support, and public channels, prioritizes what matters, and turns signals into weekly product action. A weekly metrics reporting agent that auto-pulls Friday data, generates charts, drafts the narrative, and delivers a business report. A lead outreach agent that qualifies inbound leads, drafts tailored follow-ups, and updates the CRM. A third-party risk management agent that screens vendors for sanctions, financial, and reputational risk, then delivers reports. Describe the job you want done or just drop in a file. ChatGPT helps turn it into an agent: defining the steps, connecting the right tools, adding skills, and testing it until it works the way you expect. Here are a few agents teams at OpenAI have built—and that your team can build, too: Software Reviewer : Reviews employee software requests, checks them against approved tools and policies, recommends next steps, and files IT tickets when needed. Product Feedback Router : Monitors Slack, support channels, and public forums, then turns feedback into prioritized tickets and weekly product summaries. Weekly Metrics Reporter : Pulls data every Friday, creates charts, writes the summary, and shares a report with the team. Lead Outreach Agent : Researches inbound leads, scores them against your qualification rubric, drafts personalized follow-up emails, and updates your CRM. Third-Party Risk Manager : Researches vendors, assesses signals like sanctions exposure, financial health, and reputational risk, and produces a structured report. You can also get started quickly with templates for finance, sales, marketing, and more. Each comes with built-in skills and suggested tools, so you can quickly set up an agent and customize from there. Learn how to build workspace agents in the OpenAI Academy ⁠ , and find more details in the Help Center ⁠ (opens in a new window) . Put agents to work across tools and teams Workspace agents can gather context and take action across dozens of tools. Agents are powered by Codex in the cloud, giving them access to a workspace for files, code, tools, and memory. Agents do more than answer a prompt: they can write or run code, use connected apps, remember what they’ve learned, and continue work across multiple steps. Workspace agents can keep working even when you’re away. You can set them to run on a schedule, or deploy them in Slack so they can pick up requests as they come in. For example, our product team built an agent that proactively answers employee questions in Slack channels. The agent responds with a clear answer, links relevant documentation, and can file a ticket when it finds a new issue. This agent helps teams get unblocked faster while making sure important follow-ups don’t slip through the cracks. Today, teams can interact with agents in ChatGPT and Slack, with more surfaces coming soon. Agents can join the conversations and workflows where work already happens, helping teams move work forward with less coordination. Turn best practices into shared agents Manage sharing and discover workspace agents shared by your team from the Agents tab in the ChatGPT sidebar. Knowledge is often scattered across people and systems. Workspace agents give teams a way to turn that knowledge into a reusable workflow: one that follows the right process, uses the right tools, and can be shared across the organization. For example, our accounting team built an agent that prepares key parts of month-end close, from journal entries to balance sheet reconciliations to variance analysis. It completes the work in minutes, generates workpapers with the underlying inputs and control totals needed for review, and follows internal policies. The agent is available in ChatGPT for anyone on the team to use, or added to Slack channels so the team can ask it questions and collaborate around its outputs. Because agents have memory and can be guided and corrected in conversation, they get better as teams use them. Over time, agents become a practical way to keep team knowledge current: build once, improve through use, then share or duplicate for new workflows. Stay in control, with the right safeguards View analytics for your live workspace agents from the menu in the editor. When you delegate work to an agent, you stay in control. You decide what tools and data it can use, what actions it can take, and when it needs approval. For sensitive steps, like editing a spreadsheet, sending an email, or adding a calendar event, you can require the agent to ask for permission before moving forward. After you share an agent, analytics help you see how it’s being used, including how many runs it has completed and how many people are using it. Enterprise governance and visibility Workspace agents come with enterprise-grade monitoring and controls, so admins can protect sensitive data while giving teams a safe way to move faster with AI. ChatGPT Enterprise and Edu admins can control which connected tools and actions user groups can access. Admins can also manage who has access to use, build, and share agents. Built-in safeguards help agents stay aligned with your instructions when they encounter misleading external content, including prompt injection ⁠ attacks. The Compliance API ⁠ (opens in a new window) gives admins visibility into every agent’s configuration, updates, and runs, so they can monitor and control how agents are being built and used. Admins can also suspend agents if needed. Soon, admins will also be able to view every agent built across their organization in the admin console, including usage patterns and connected data sources. Early feedback from customers Early testers of workspace agents are already seeing more consistent results and time for higher-value work. “The hard part of building an agent is not the model. It