These are not optional questions when you have 50+ users deploying AI agents across an enterprise.
Alphient Prime's Workspace & RBAC system answers all three with a structured governance model.
Enterprise Hierarchy
Organisation → Department → Project → User
Not flat. Not chaotic. A hierarchy that mirrors how enterprises actually organise teams and work.
4-Tier Role System
- Org Admin: Full platform control, user management, global settings
- Project Member: Create and manage assets within assigned projects
- User: Standard access, personal assets, view shared resources
- Viewer: Read-only access to permitted assets
5-Level Asset Visibility
Every workflow, agent, tool, skill, and ontology has a visibility level:
- Own (private to creator)
- Project (shared with project members)
- Department (shared across the team)
- Organisation (available to everyone)
- Global (system-wide, admin-managed)
Admin Dashboard
- 50+ users with full activity tracking: workflows, agents, sessions, skills, schemas, ontologies
- Role assignment with dropdown, expiry dates, scope editing
- CSV export and PDF reports for governance reviews
- Query-level RBAC filtering — users cannot retrieve assets outside their scope, even via API
The question is not whether you trust your agents. It is whether you trust who has access to them.
Organise. Control. Govern.