Anthropic introduced Claude Tag, a new artificial intelligence service that runs on Slack and can constantly actively participate with team members. This feature, which the company defines as “always on Claude”, allows users to receive information from artificial intelligence, assign tasks and follow ongoing business processes with the @Claude tag in chats. The system, which will be available in beta phase for Claude Enterprise and Claude Team customers, further expands the scope of existing Slack integrations.
Thanks to the Slack integrations that Anthropic previously offered, users could directly message @Claude or get support on certain issues by tagging the artificial intelligence in the channel. In addition, Claude Code integration could initiate software development tasks from within Slack, direct them to more comprehensive work sessions on the web, and transfer the results back to the relevant conversation thread. Claude Tag adds a layer of continuous context tracking and institutional memory to this approach.
According to the company, Claude Tag begins to better understand the way teams work over time by monitoring the conversations in the Slack channel he is in. In addition, if the necessary permissions are given, they can collect information from different channels and use this information while performing their duties. Thus, artificial intelligence is no longer a tool that only responds to instant commands, but becomes an assistant that has a better command of the business processes of certain teams.
One of the striking features of Claude Tag is that it offers a common artificial intelligence identity. All users in a given Slack channel are working with the same Claude instance. In this way, team members can see which tasks the artificial intelligence has undertaken before and can continue where they left off. Anthropic states that this approach can increase knowledge continuity within the team.
Claude Tag tracks tasks by learning the corporate context
System administrators can determine which tools, data, and channels Claude can access. Each Claude identity operates only within the workspaces for which it is defined. For example, the information obtained by a Claude instance created for the legal team is prevented from being used by Claude in the engineering channel. This structure stands out as a remarkable element in terms of corporate data security and access control.
Claude Tag, which receives a specific task from the users, proceeds by dividing the task into different stages and produces results by using the tools it has access to. Completed work is then shared in the relevant Slack conversation thread. However, the system does not operate in a structure that only waits for commands. Thanks to Claude Tag’s feature defined as “ambient mode”, artificial intelligence can participate in conversations on its own initiative when necessary, remind forgotten tasks, or convey to team members developments that may attract attention throughout the organization.
Anthropic states that this experience is different from traditional chat bots and offers a structure closer to the feeling of users working with a teammate. Among the main features of the system is that artificial intelligence produces work publicly and shares it on channels where team members can see it.
On the other hand, the issue of access to institutional context and organizational information has become one of the areas that artificial intelligence companies have been focusing on recently. While Microsoft highlights the Microsoft Graph infrastructure through Copilot and Work IQ; Snowflake and Databricks also position in-house knowledge as data layers that artificial intelligence agents can access. Glean, on the other hand, develops a separate intelligence layer that works between corporate data and artificial intelligence models and can understand the company context.
Claude Tag’s announcement shows that AI tools are moving beyond just producing content and are becoming more deeply integrated into the daily work routine of teams. However, the success of such systems will continue to depend on the quality of corporate data they can access, security policies, and users’ habits of working with artificial intelligence. Anthropic’s new solution indicates that competition in this field will become even more intense in the coming period.