“With the Data agent in ChatGPT Work, users can connect directly to Amazon Redshift, making it as easy as asking a question to explore data, surface insights, and make faster decisions across their organization.”

“Connecting ClickHouse to the Data agent in ChatGPT Work puts real-time analytics in front of all business users making decisions big or small.”

“Thousands of organizations rely on Databricks Genie to deliver trusted answers on their enterprise data. Genie has the rich context for bridging the gap from data to insights. We are thrilled to partner with OpenAI to make it easy for all ChatGPT users to tap into Genie’s data intelligence.”

“Our customers have built a trusted foundation for enterprise data and context in Snowflake. With the Data agent in ChatGPT Work, employees can tap into that data and access controls to investigate business questions—while OpenAI models simultaneously bring intelligence to experiences like Snowflake CoCo and CoWork. Teams share a common, governed understanding of their business wherever they choose to work.”

“Our customers’ most important data lives in Atlas, updating in real time as their business runs—every order, every session, every event landing as it happens. Now the Data agent in ChatGPT Work can reach that data directly, so instead of waiting on a report built from yesterday’s numbers, anyone can ask a plain-language question and get an answer grounded in what’s happening right now.”

“Connecting Redis to the Data agent in ChatGPT Work lets agents go beyond querying data to acting on it in real time, with context and access controls our customers already trust. Teams spend less time wiring systems together and more time putting that data to work.”

“G2’s trusted B2B software data with the Data agent in ChatGPT Work helps teams understand buyer needs, competitive dynamics, and emerging trends. It brings insights from verified customer reviews, buyer intent signals, and market intelligence directly into the workflows where teams make decisions.”

“Connecting Tableau with ChatGPT Work brings trusted business semantics into a place employees already work, so the answers they get are grounded in the same data model their teams rely on. Users can easily transform insights into action by asking questions, exploring evidence, and publishing new views directly to Tableau using built-in design and analytics best practices.”

“Power BI helps people make better decisions with a trusted semantic layer used by hundreds of thousands of enterprises. With the Data agent in ChatGPT Work, users have a new option to create Power BI dashboards by simply describing their business questions, making it easier for more people to understand their data and act on it.”

“Our customers use Sigma for revenue forecasts and operational planning because the metrics, workbooks, and analysis behind them are governed and shared. Bringing that into ChatGPT Work means the fastest place to ask a question is now also the place where answers are grounded in semantics.”

“Analytics should work where your teams work. With the Data agent in ChatGPT Work, teams can build ThoughtSpot AI analytics in minutes using natural language. Business users get governed answers based on definitions they already trust, while developers ship working embedded analytics apps from a single prompt.”

“At NTT DATA, licensing costs, effort, and technical expertise have made it difficult to expand the use of dashboards across our organization. With the Data agent in ChatGPT Work, many non-engineers, particularly in sales and corporate functions, have been able to build and update their own dashboards using plain language.”

“At Thermo Fisher Scientific, we’re using the Data agent in ChatGPT Work with data from our existing environment to help our teams prepare more effectively and to identify opportunities with our supply base. We see potential for clearer analysis and better-informed decisions that can help us better serve customers.”

“At ServiceTitan, we used the Data agent in ChatGPT Work to build a dashboard showing that users of Atlas, our AI sidekick, launched campaigns at roughly three times the rate of nonusers. That finding is helping us simplify onboarding and help more customers adopt Atlas.”

“At Zipline, we’re using the Data agent in ChatGPT Work to explore our company data and build dashboards just by asking in natural language. In early testing, it surfaced profound findings that would have taken one of our best people hours of digging through the data to uncover.”

“At Empower, we used the Data agent in ChatGPT Work to combine organizational and AI usage data, uncover adoption trends, and do our own analysis. What impressed us was how easily it made sense of free-form survey responses, surfacing top use cases and insights that would otherwise have taken significant manual effort to uncover.”

“Our leadership team used the Data Agent in ChatGPT Work to better understand every part of our business—from analyzing the sales funnel and Intercom ticket volume to reviewing Brex card spend. Each leader could quickly build custom views and dig deeper into the trends that mattered most.”

“Within two days, different teams across marketing and finance were using the Data agent in ChatGPT Work to turn raw data into interactive dashboards tailored to each office. It’s made sophisticated reporting more accessible, helping us deliver clear, shareable insights to leaders across the firm.”

“At CookUnity, our Growth team used the Data agent in ChatGPT Work to build and refine a high-season conversion dashboard just by asking. We checked the results against internal reports and cut the time needed to plan our seasonal acquisition spending.”

“At Turing, our Business Operations team used the Data agent in ChatGPT Work to explore operational metrics and ask follow-up questions. It surfaced drivers behind changes, helping us reduce manual reporting and prioritize improvements to onboarding and customer satisfaction.”

“As an OpenAI evaluation partner, we’d already seen strong results from the Data agent in ChatGPT Work through our robust evaluations. Using it internally at micro1 gave us the chance to see that value firsthand. Our operations team built its own dashboards by asking questions in plain language, and in half an hour, rebuilt our performance tracking dashboards while catching errors in the original.”

“We use it to understand where demand is strongest across industries, accounts, and AI use cases, and how changes in our pipeline align with delivery capacity. Our business development and delivery leaders can edit, share, and refresh those scorecards to prioritize opportunities and match the right expertise to client needs.”