Exposes internal employee directories and project management systems to AI models through standardized tools and resources. It enables AI assistants to search for team members, query project statuses, and explore organizational hierarchies with secure role-based access control.
Exposes an internal engineering knowledge base to AI assistants, allowing users to search and retrieve standards, runbooks, and architecture decisions. It supports RAG-enhanced search, document scraping, and specialized prompts for incident investigation and code reviews.
Enables AI assistants to query a user's recorded work sessions, notes, and browsing history, allowing them to resume tasks or answer questions about past work without re-explanation.
Enables AI assistants and developer tools to securely access and interact with an organization's enterprise knowledge, documents, and people through natural language while respecting existing access permissions.