OpenAI introduces the Data agent for governed analysis and dashboards in ChatGPT Work
The plugin connects approved company data and uses existing account permissions while administrators control available connections and roles.
Key takeaways
OpenAI introduced the Data agent for ChatGPT Work on September 10. The plugin connects approved company data sources, files, and business context so users can investigate changes in natural language, inspect evidence, and create interactive dashboards that teams can edit, share, and refresh. It can also share findings through connected Slack or email tools and carry out actions that users approve. Administrators control which connections and roles are available, while queries enforce the connected account's existing table, row, and column permissions. Data is listed in the ChatGPT Work Plugins directory; teams install it, complete required account connections, and start with @Data. Before operational use, teams should verify metric definitions, evidence, data scope, and each downstream action.
Direct answer
OpenAI introduced the Data agent for ChatGPT Work on September 10. The plugin connects approved company data sources, files, and business context so users can investigate changes in natural language, inspect evidence, and create interactive dashboards that teams can edit, share, and refresh. It can also share findings through connected Slack or email tools and carry out actions that users approve. Administrators control which connections and roles are available, while queries enforce the connected account's existing table, row, and column permissions. Data is listed in the ChatGPT Work Plugins directory; teams install it, complete required account connections, and start with @Data. Before operational use, teams should verify metric definitions, evidence, data scope, and each downstream action.
Verified facts
OpenAI released the Data agent as a new ChatGPT Work plugin for connecting approved company data, investigating changes, and creating shareable interactive dashboards.
OpenAI lists Amazon Redshift, Datadog, BigQuery, ClickHouse, Databricks, MongoDB, and Snowflake among supported sources, with Google Drive and SharePoint files available for analysis.
Administrators control data connections and roles; queries enforce the connected account's existing table, row, and column permissions, and Data is used after installation with @Data.
What changed
- Data questions, evidence review, and dashboard building happen in one conversation
- Existing table, row, and column restrictions remain part of query control
- Administrators choose plugins, data connections, and eligible roles
- Findings can be shared through connected tools and actions require user approval
Impact for AI users
The Data agent lowers the operational barrier from a business question to analysis and a dashboard for nontechnical teams, but it does not automatically guarantee correct semantics or reliable conclusions. Connected permissions limit visible data but do not replace metric governance, definition review, or output checking. Before sharing findings to Slack or email, or continuing with an action, teams should confirm data freshness, filters, the evidence chain, and the approving person.
Operating checklist
- Begin with one governed source and one frequent metric question, then have the data owner check the result.
- Enable connections by role in administrator settings and test table, row, and column restrictions with least privilege.
- Record metric definitions, filters, data refresh time, and evidence links in every dashboard or leadership readout.
- Keep Slack, email, and other downstream actions subject to per-action approval and regularly review plugin connections and roles.
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FAQ
What data can the Data agent access?
It connects approved sources and files, while each query remains limited by the connected account's table, row, and column permissions.
How does a member start using it?
Install Data from the ChatGPT Work Plugins directory, complete required account connections, and ask a business question with @Data.
Will it automatically perform external actions?
OpenAI says it can share findings through connected tools and carry out actions a user approves; teams should retain per-action approval.
Summary
The Data agent brings company data, business context, and dashboard workflows into ChatGPT Work. Its practical value depends on governed connections, traceable evidence, and human approval before every external action.
This AI-assisted article is checked by ENHE AI automation for official sources, bilingual fields, media rights, page safety, and historical duplication before publication.
What this means for everyday users
The Data agent lowers the operational barrier from a business question to analysis and a dashboard for nontechnical teams, but it does not automatically guarantee correct semantics or reliable conclusions. Connected permissions limit visible data but do not replace metric governance, definition review, or output checking. Before sharing findings to Slack or email, or continuing with an action, teams should confirm data freshness, filters, the evidence chain, and the approving person.
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