Now everyone can put data to work
OpenAI introduces a Data agent in ChatGPT Work to let employees analyze company data via natural language, build dashboards, and share insights without writing queries or learning new tools.
OpenAI has launched a Data agent in ChatGPT Work designed to help employees across organizations turn raw company data into actionable insights without relying on reports or analysts. The tool connects to approved data sources such as Amazon Redshift, Datadog, Google BigQuery, and Snowflake, enabling users to ask business questions in plain language and receive answers with supporting evidence. It interprets data using an organization’s existing business terms, metric definitions, and semantic layers like Databricks Genie Ontology or dbt. Enterprise administrators control which data connections and roles are available, ensuring queries respect existing permissions and data restrictions.
The Data agent builds interactive dashboards with built-in visualizations that teams can edit, share, and refresh, and it can tailor outputs to match an organization’s branding guidelines. It integrates with tools like Omni, Oracle BI, Power BI, Sigma, Tableau, and ThoughtSpot, allowing users to work within familiar platforms. Users can direct follow-up questions, recommend next steps, and share findings via Slack or email, while approved actions can be executed through connected tools.
Nearly all of OpenAI’s product team and over two-thirds of its go-to-market organization use the Data agent in ChatGPT Work to analyze company data independently, according to the company. OpenAI’s data team enabled this by establishing shared business definitions, access rules, and safeguards for sensitive data. The tool is also being tested by organizations such as NTT Data, Thermo Fisher, and ServicePiston in an Alpha program, where it is used to analyze sales and spending, identify reporting errors, and prioritize business opportunities.
The Data agent is available in the Plugins directory in ChatGPT Work under the name Data. Administrators can install it for teams via Workspace settings and configure data-source plugins such as Databricks and Snowflake. Users can start a conversation with @Data to ask business questions, diagnose changes in metrics, design KPI frameworks, or generate leadership-ready updates with comparisons and recommended actions.