Approved Models

Control which AI models your organization can access with centralized approval management

Approved Models provide organization-level control over which AI models your team members can access, ensuring compliance, cost control, and strategic model usage across your organization.

Overview

Approved Models create a curated whitelist of AI models that your organization’s members can use, separate from the full catalog of available models. This enterprise feature gives administrators complete control over model access while providing transparency around capabilities and costs.

What Approved Models Do

Access Control

Control which models are available to your organization members

Cost Management

Monitor and control spending by limiting model selection

Compliance

Ensure only approved models are used for sensitive workflows

Strategic Control

Align model usage with organizational AI strategy

How Approved Models Work

Two-Tier Model System

All Models View:

• Complete catalog of hundreds of available models
• Full provider ecosystem (OpenAI, Anthropic, Azure, etc.)
• Available for admin review and selection

Approved Models View:

• Organization’s curated whitelist
• Only models approved by administrators
• Default view for regular organization members

Model Information Display

Each model in the system shows comprehensive details:

• Provider: OpenAI, Anthropic, Azure, Google, etc.
• Location: Geographic region (us-east-1, eu-west-1) or Global
• Capabilities: Caching, Reasoning, Training data usage policies
• Pricing: Input/output token costs per million tokens
• Context Window: Maximum token limit for requests
• Model ID: Structured format like openai/gpt-4 or anthropic/claude-3-sonnet

Admin Model Management

Adding Models to Approved List

1. Access Admin Panel

   Navigate to Admin Panel → Models Management tab
2. Add New Model

   Click “Add Model” to start the approval process
3. Select Provider

   Choose from available providers (OpenAI, Anthropic, etc.)
4. Choose Location

   Select geographic region or Global deployment
5. Pick Model

   Select specific model from filtered list based on provider/location
6. Confirm Addition

   Model gets added to organization’s approved list

Model Management Interface

Searchable Model Table:

• View all currently approved models
• Search and filter by provider, capabilities, or pricing
• Sort by various criteria (cost, context window, etc.)
• Quick access to model details and removal options

Model Removal:

• Easy removal of models from approved list
• Immediate effect on organization access
• Audit trail of approval changes

User Experience

Model Selection for Users

Default Behavior:

• Users see only approved models by default
• Clean, curated list for everyday use
• No access to non-approved models in API policies

Optional All Models View:

• Users can toggle to see full catalog
• Helpful for understanding available options
• Cannot actually use non-approved models

API Key Integration

Approved Models integrate seamlessly with your existing API key system:

Access Flow:

1. Admin approves specific models
2. Approved models appear in API key policy options
3. Users can only select from approved models when configuring keys
4. API requests restricted to approved model set

Cost and Usage Control

Spending Visibility

Organization-Level Tracking:

• Monitor spending per approved model
• Track usage patterns across teams
• Identify high-cost models and usage trends

Budget Planning:

• Understand cost implications before approval
• Plan model strategy based on pricing tiers
• Optimize model mix for cost efficiency

Strategic Benefits

Compliance & Governance

Regulatory Control:

• Ensure only compliant models are used for sensitive data
• Maintain audit trails of model approvals
• Control data processing locations through geographic model selection
• Implement consistent AI governance policies

Cost Optimization

Financial Management:

• Prevent usage of expensive models without approval
• Track and allocate costs per model type
• Optimize model selection for different use cases
• Plan budgets based on approved model pricing

Performance Strategy

Capability Management:

• Standardize on proven, high-performing models
• Control access to experimental or beta models
• Ensure consistent quality across organization
• Plan model upgrades and migrations strategically

Future Expansions

Project-Level Controls

The Approved Models system is designed to expand with more granular controls:

• Per-Project Approval: Different approved models for different projects
• Group-Specific Models: Tailored model access per team or department
• Role-Based Access: Different model tiers based on user roles
• Temporal Controls: Time-limited model approvals for testing

Advanced Features Coming Soon

Enhanced Management:

• Bulk model approval workflows
• Model approval requests from users
• Automatic model updates and notifications
• Integration with external approval systems

Best Practices

Start Conservative

Begin with a small set of well-tested models and expand based on proven needs

Monitor Usage

Regularly review which approved models are actually being used by your teams

Cost Awareness

Consider both capability and cost when approving models for organization use

Regular Review

Periodically review and update your approved models list as new models become available

Integration with Other Features

Works With Users & Groups

• User Management: Individual users see only approved models
• Group Controls: Groups can access approved models based on API key assignments
• Spending Limits: User and group spending limits apply to approved model usage

API Key Policies

• Only approved models appear in policy configuration
• Fallback chains can only use approved models
• Load balancing limited to approved model set

Approved Models provide the foundation for sophisticated AI governance while maintaining ease of use for your organization’s day-to-day operations.

The Approved Models system ensures your organization maintains control over AI model access while enabling teams to work effectively with pre-approved, cost-effective model choices.