Governance features in StackAI give admins fine-grained control over users, folders, knowledge bases, and external connections, so you can deploy AI confidently across any team. In this video, you’ll learn how to set role-based permissions, enforce security policies like SSO and token alerts, and monitor usage with project-level analytics. Whether you manage a startup or an enterprise, these tools let you scale AI without sacrificing control.

Summary

• User roles: Admin, Editor, Viewer, User—plus bulk invites and CSV imports

• Groups & private folders: assign access with a click; lock sensitive projects behind a 🔒 icon

• Role-based access for Knowledge Bases and Connections to keep data sources secure

• Security settings:

  
  

  • SSO protection & allowed source URLs for embedded interfaces

  • Token-usage alerts so admins can spot spikes early

  • Control citation display and download permissions

  
  

• Project analytics: filter runs, tokens, and usage by project for full oversight

• Multi-workspace support (like Slack) and custom branding for large orgs

• Limit daily requests, hide unapproved LLM models, and restrict publishing to admins only

• End-to-end governance ensures compliance, visibility, and peace of mind as you scale