Workspaces
Workspaces are structured environments inside an organization that allow teams to separate projects, clients, or departments while sharing the same subscription. They act as controlled containers for AI usage. Workspaces can access credits directly from the shared pool or through their allocated budgets.
What is a Workspace?
A workspace is a project-level container within an organization designed to structure and manage AI operations.
It is used to:
Organize AI work by project, team, or client
Maintain separation between different use cases
Track credit usage independently
Preserve clean and isolated activity history
Common Use Cases
Agency
Client
Workspace: Nike Campaign
Data isolation, clean billing
SMB
Department
Workspace: Marketing
Usage tracking per team
Consultant
Engagement
Workspace: Q3 Audit
Client confidentiality
Freelancer
Revenue stream
Workspace: Brand A
Isolated outputs
Dev / R&D Team
Experiment
Workspace: GPT vs Claude Test
No production interference
Key Capabilities
1. Project or Client-Level Structuring
A workspace can represent different operational units such as:
Clients
Departments
Campaigns
Product lines
Research initiatives
Consulting engagements
This prevents overlap between unrelated work and ensures structured execution.
2. Independent Usage Tracking
Although credits belong to the organization, usage is tracked at the workspace level.
Each workspace provides visibility into:
Image and speech credit consumption
Chatbot credit usage
Total credits consumed
This enables accurate:
Client billing
Department budgeting
Resource forecasting
Performance analysis
3. Isolated AI History
Every workspace maintains its own activity history.
This ensures:
No cross-workspace visibility of generated content
Project-specific conversations remain contained
Outputs and media are properly organized
This isolation supports confidentiality, privacy, and clean workflows.
Primary Workspace
When an organization is created, Qolaba automatically generates the first workspace, known as the Primary Workspace.
The Primary Workspace:
Is the first workspace created by default
Serves as the initial working environment
This ensures the organization is immediately ready for use without additional setup.
Default Workspace Behavior
The Primary Workspace acts as the default workspace for all initial activities.
This means:
All initial AI activity is recorded here
History is stored by default in this workspace
Members operate within it unless reassigned
If no additional workspaces are created, all activity remains within the Primary Workspace.
When Should You Create Additional Workspaces?
You should create new workspaces when:
Managing multiple clients
Operating across different departments
Requiring separate credit tracking per project
Needing isolated AI history
Enforcing stricter project-level governance
Workspaces are essential for maintaining scalability, clarity, and operational control.
Organization vs Workspace
Role
Top-level entity
Project-level container
Ownership
Owns subscription and credits
Uses allocated or shared credits
Management
Manages members
Assigns members per project
Function
Contains workspaces
Segments and organizes work
Data Scope
Global
Isolated per workspace
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