Anthropic launches Claude Tag for Slack teams

Anthropic launches Claude Tag for Slack teams
News

Anthropic introduced Claude Tag on June 23, a new way for teams to work with Claude directly inside Slack. The company says Claude can now join selected channels as a shared AI teammate, connect to approved tools, data sources and codebases, and be tagged by anyone in the channel to take on work. The launch is available in beta for Claude Enterprise and Team customers.

The change is important because it moves Claude beyond the familiar one-to-one chatbot pattern. Instead of a private assistant answering a single user, Claude Tag creates a shared Claude identity inside a Slack channel. Anthropic says this lets team members see what Claude is doing, continue a task where a colleague left off and build up useful context over time. The system can remember relevant information from the channels it is allowed to access, while administrators decide which channels, tools and data each Claude identity may use.

Anthropic is framing Claude Tag as an evolution of Claude Code. The company says its internal version is already central to how it works, and claims that 65 percent of its product team's code is created with that internal system. It also says the pattern is spreading beyond engineering, with teams using Claude to analyze product metrics, handle support work and investigate incidents.

For companies, the most practical question is governance. Anthropic says administrators can scope access by channel, keep memories separated between use cases, set token spend limits and review logs of what Claude has done and who requested it. That matters because a Slack-native agent can touch sensitive company knowledge if permissions are too broad.

For AI users and makers, Claude Tag points to the next phase of workplace AI: agents that sit inside the tools where work already happens, rather than waiting in a separate app. The promise is less copying context into chat windows and more delegated work in public view. The risk is that teams will need clearer rules for oversight, data access and accountability when an AI teammate starts following conversations, remembering context and acting asynchronously over hours or days.