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The new plugin is designed to turn questions across company data, documents and dashboards into analysis and approved follow-up work. The remaining test is whether enterprises trust its answers enough to widen those permissions.
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OpenAI has generalized an internal analytics workflow into a Data agent for ChatGPT Work, targeting questions that span business systems rather than replacing dedicated data platforms. The agent can investigate changes, expose supporting evidence, create collaborative dashboards, and execute approved actions through connected tools.
OpenAI reports nearly all product staff and more than two-thirds of go-to-market employees use data agents internally.
Connections include Redshift, BigQuery, Databricks, Snowflake, Tableau, Power BI, Slack, Google Drive and SharePoint.
Existing table-, row- and column-level permissions remain enforced by connected systems.
OpenAI has added a Data agent to ChatGPT Work that can investigate business-data changes, build interactive dashboards and carry out approved follow-up actions through connected tools. The launch brings more workplace systems into one conversational workflow, while leaving the product without a published external accuracy benchmark.
The external product grew from an internal tool OpenAI built around its own data, permissions and workflows, then generalized for other companies’ software. OpenAI says nearly all of its product team and more than two-thirds of its go-to-market organization use data agents in ChatGPT Work to analyze company data.
Its pitch is that employees should be able to ask a question in plain language rather than wait for a report or learn a separate analytics tool. The agent uses an organization’s business terms, metric definitions, custom calculations and data relationships to interpret results, according to OpenAI.
The agent connects to approved data sources and can bring Google Drive and SharePoint documents into its analysis. Users can examine evidence behind a finding, refine the work in conversation, and turn it into a dashboard that colleagues can edit, share and refresh.
Administrators decide which connections and roles are available. Queries enforce the connected account’s existing table, row and column restrictions. OpenAI says the agent does not create a permanent cross-tool context layer; it combines context from connected systems while it works.
OpenAI does not position the tool as a replacement for a company’s specialized data platform. Instead, it argues that ChatGPT Work is most useful when work crosses several systems. For customers, the next decision is how much review to require before an agent’s finding becomes a recommendation, message or approved action.
Editorial analysis
OpenAI’s Data agent makes the workplace-agent promise more concrete: it is not only meant to retrieve information, but to carry a finding into a dashboard, message or approved action. That puts the practical burden on the data definitions and permissions companies already maintain. OpenAI’s lack of a public external accuracy benchmark does not establish poor performance, but it leaves buyers without a published measure of how the product handles the hard cases behind business decisions. The important next evidence will be whether OpenAI releases external evaluation results or customers disclose how they validate findings before acting on them.
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