Your AI coworker in Slack with context across every system

This post details how Glean's AI coworker in Slack is built on foundational infrastructure that enforces real permissions at index time and during agent actions. It highlights the importance of a unified index for grounding public answers and preventing data leaks. The system's ability to pull context from across multiple systems (Salesforce, Google Drive, Jira, Confluence) to answer complex queries is emphasized. Furthermore, the post discusses the proactive nature of the AI coworker, its ability to chime in and close loops by performing actions like opening pull requests or filing tickets, all under enforced permissions with audit trails. This builds upon the existing agent orchestration platform by focusing on the practical implementation of safe, permission-aware AI actions within an enterprise context.
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