# Core concepts (/docs/core-concepts)



Use these terms consistently when reading or writing BullSequana AI documentation.

## Product domains [#product-domains]

| Domain         | Responsibility                                                                                                         |
| -------------- | ---------------------------------------------------------------------------------------------------------------------- |
| **AI**         | User-facing AI experiences and reusable AI capabilities such as models, RAG, document intelligence, voice, and agents. |
| **Data**       | Data integration, engineering, catalog, data science, orchestration, streaming, and analytics capabilities.            |
| **Foundation** | Shared platform services for identity, inference, networking, observability, storage, databases, and delivery tooling. |

These domains describe the current product. Historical names can still appear in release notes or technical identifiers, but they are not used as product areas.

## Resource hierarchy [#resource-hierarchy]

BullSequana AI provides multi-tenant isolation and team-scoped access as part of the product authorization model.

```text
Installation
└── Tenant / customer
    └── Team
        ├── Users and service identities
        ├── Applications and agents
        ├── Data and knowledge
        └── Models and workloads
```

* An **installation** is one deployed BullSequana AI platform.
* A **tenant** represents a customer or organization. BullSequana AI isolates its resources and administration from other tenants.
* A **team** is a department or working group inside one tenant. Teams provide delegated access and budget scopes without weakening the tenant boundary.
* The product scopes access, budgets, applications, data, models, and workloads through this hierarchy.

## Responsibility boundaries [#responsibility-boundaries]

* **Deployers** prepare infrastructure and install the platform.
* **Platform engineers** keep the installation healthy and recoverable.
* **Provider administrators** manage installation-wide settings and tenant lifecycle.
* **Tenant administrators** manage identity, teams, membership, and delegated budgets inside one tenant.
* **Developers and data practitioners** build applications, models, and pipelines without operating the underlying platform.
* **End users** consume governed AI and data experiences.
* **Security and compliance owners** approve data and use-case access and collect evidence.