On Tuesday, Anthropic unveiled Claude Meetings, Whiteboards and Sheets, a workplace suite designed to move Claude from individual assistance into the middle of team workflows. The company’s central pitch is speed: rather than waiting for a call to end before drafting follow-up work, Claude can join a Google Meet as a visible participant and begin producing plans, timelines and answers while the discussion is still underway.¹

Claude Meetings, launching in beta for Team and Enterprise customers, can take notes, track action items, search connected workplace apps and respond in the meeting chat. Nicholas Lin, Anthropic’s product lead for knowledge work, said the company has been testing the feature internally for about two months and that Claude is now present in nearly all of its meetings. Anthropic’s broader ambition, he said, is for knowledge workers to work “at the speed of thought,” echoing the shift the company says AI has already brought to software developers.¹

The launch also extends that argument beyond video calls. Claude Whiteboards turns spoken brainstorming into shared boards with owners, deadlines and timelines; Claude Sheets lets teams create and edit spreadsheets alongside the assistant. Both are in beta for paid users, while Claude Data—formerly Claude Dashboards—is now more broadly available for querying company systems and generating reports, dashboards or narrated videos.²

Anthropic says the safeguards matter as much as the automation: Claude identifies itself in a meeting chat, will not enter calls with external guests without administrator approval, and leaves if an outside participant arrives. That reflects the tension behind the pitch—an AI colleague may cut the lag between discussion and execution, but it also gains a seat in conversations and systems that companies treat as sensitive.³

The timing intensifies an increasingly crowded contest. OpenAI has recently rolled out workplace collaboration tools, while Anthropic’s new suite puts it in more direct competition with Microsoft and Google. The question is no longer whether AI can summarize a meeting; it is whether companies will let it start doing the work before anyone hangs up.³