Anthropic’s Claude Tag is learning your company, one Slack message at a time

Anthropic is introducing a new service called Claude Tag, an “always-on Claude” that lives in Slack and acts as an AI teammate. The new feature – which allows users to tag @Claude to provide insight into chats and assign tasks – will be available in beta for Slack for Claude Enterprise and Claude Team customers.

Claude Tag is an evolution of several integrations that already exist. Users can already DM @Claude within Slack or tag it in channels for on-demand help, and Claude Code in Slack pushes coding tasks from channel mentions to full coding sessions on the web, with updates posted back into the thread.

But Claude Tag adds a layer of persistent context and memory that would have been difficult to maintain with previous tools. “As Claude follows his channel, he learns more and more about the work,” reads a statement from Anthropic. “Claude can also automatically collect facts from elsewhere in the organization, if he is given permission to read other channels.”

With Claude Tag, everyone in a given Slack channel has access to a single Claude identity, meaning “anyone can see what Claude has been working on, and pick up the conversation where the last person left off.” System administrators will specify which tools, information, and channels Claude has access to, and any Claude identity will be limited to the channels the administrators define, so for example a Claude set up for legal work cannot post reminders in the technical channel.

When a specific task is assigned, Claude Tag will break the task down into phases and work through them using the tools he has access to, responding in a Slack thread with what he created. But Claude Tag also features an ambient mode that proactively jumps into the chat on its own to keep your team informed, highlight issues from across the organization, and follow up on issues or tasks that have been forgotten.

Anthropic says this gives the feeling that you are “working with a real colleague – a colleague who can produce work in the public eye, with much more context and understanding than before.”

That context is becoming an increasingly important part of enterprise implementations, and Anthropic isn’t the only company focused on it. Microsoft also has Graph, expressed through Copilot and Work IQ. Snowflake and Databricks position their platforms as the back-end support with tacit organizational knowledge that agents can tap into. Glean also builds an intelligence layer that understands the business context and sits between the model and the business data.