> For the complete documentation index, see [llms.txt](https://planck-ai.gitbook.io/planck-ai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://planck-ai.gitbook.io/planck-ai-docs/documentation/reference/integrations.md).

# Integrations

Planck AI can connect to documents, databases, cloud storage, and business systems.

Integrations allow Planck AI to search documents, query structured data, support workspace context, and power automation workflows.

### Common integration types

Planck AI can work with:

* Cloud storage systems
* Databases
* SaaS applications
* Commerce platforms
* CRM systems
* Uploaded files
* Workspace-specific data sources

### Supported and common systems

Depending on your deployment, Planck AI can connect to systems such as:

* Microsoft 365
* OneDrive
* SharePoint
* PostgreSQL
* MySQL
* Salesforce
* Odoo
* Adobe Commerce / Magento
* Collate
* CSV and Excel files
* PDFs and text documents

Available integrations may vary by customer setup and deployment.

### What integrations are used for

Integrations can be used to:

* Sync documents into a workspace
* Search cloud files through Planck AI
* Query databases in natural language
* Analyze spreadsheets and CSV files
* Connect business systems to workspace context
* Support recurring reports and automations
* Enforce access control based on source-system permissions

### Integration permissions

Access to integrated data is controlled by workspace permissions and, where supported, source-system permissions.

For example, Microsoft 365 integrations can use per-user account linking so Planck AI only shows cloud-synced documents that the user is allowed to access in OneDrive or SharePoint.

### Recommended next pages

* **Microsoft 365, OneDrive, and SharePoint** — learn how to connect Microsoft cloud storage to Planck AI
* **Chat with Documents** — learn how users ask questions about synced and uploaded files
* **Chat with Databases** — learn how users query connected databases and business systems


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