Artificial intelligence startup Anthropic has announced the launch of its new enterprise-level AI tool, Claude Tag, marking a further deepening of its efforts in collaborative office automation. As an "always-on" AI teammate, Claude Tag is deeply integrated into the Slack platform, allowing enterprise users to interact, gain insights, or assign tasks directly within chats by mentioning @Claude. The beta version of this feature is currently available to enterprise customers of Claude Enterprise and Claude Team.

Compared to existing integration features that supported private messages and code routing (such as the web-based Claude Code), Claude Tag represents a core technological leap, introducing a persistent context and memory layer that previous tools lacked. In practical applications, the tool can track the conversation flow in a channel over time, continuously and autonomously learn the organization's workflows and business logic; once granted cross-channel reading permissions, it can automatically retrieve information across the entire organization. This feature allows all employees within a specific channel to share the same Claude identity, ensuring team members can seamlessly pick up where others left off in conversations and work context.
In terms of security and engineering implementation, system administrators can define fine-grained permissions for each Claude identity, such as tool usage, information access scope, and channel access rights. For example, a Claude identity dedicated to legal affairs can be strictly restricted to compliance channels, preventing sensitive data from leaking to other departments like engineering. When assigned specific tasks, Claude Tag can break down complex goals into multiple stages, autonomously call on multi-modal tools to progress step by step, and provide real-time updates in Slack channels. Additionally, its built-in "active mode" enables the system to join group chats autonomously and proactively follow up on forgotten topics or tasks.
Currently, the focus of competition in enterprise AI is shifting from pure model capabilities to a deep understanding of an organization's implicit knowledge and contextual control. Not only is Anthropic building an enterprise-specific intelligence through Slack messages, but Microsoft is also leveraging Graph technology, Copilot, and Work IQ to build a collaborative ecosystem, while Snowflake, Databricks, and Glean are each contributing their strengths to establish an intelligent layer between models and enterprise private data.
