The AI Registry
EveryoneAI governance
Stand: 25.05.2025
Overview
The AI Registry in Grace provides a structured, hierarchical way to register and organize key components of AI governance. This includes registering:
- Use Cases (High-level applications)
- Systems (Functional groupings of models)
- Models (Technical implementations)
These components are interconnected and reflect the layered architecture of AI deployments in an organization.
Hierarchy of Registration
Grace uses a three-tier hierarchy to organize AI assets:
1. Models (Lowest Level)
- Represent
technical AI components, such as:
- Classification models
- Large Language Models (LLMs)
- Models can be:
- Assigned to one or multiple systems
- Serve as the foundational building blocks for AI operations
2. Systems
- Group together one or more models
- Represent the technical or operational scope of a solution
- A model may be reused in multiple systems
3. Use Cases (Highest Level)
- Represent business-level applications of AI
- Group one or more systems under a common purpose or function
- A system may be linked to one or more use cases
Registration Options
In Grace, you can register use cases, systems, and models through:
1. Guided Flow (Wizard)
- A user-friendly interface that walks you through the necessary inputs
- Recommended for most users
2. API Integration
- Suitable for bulk or automated registration of AI assets
- Ideal for technical teams or organizations with large-scale deployments
Summary Table
| Level | Description | Can Be Part of Multiple... | Registered Via |
|---|---|---|---|
| Model | Technical component (e.g., LLM, classifier) | Systems | Wizard or API |
| System | Functional unit composed of models | Use Cases | Wizard or API |
| Use Case | Business-level AI application | — | Wizard or API |