# Welcome to Planck AI

##  What is Planck AI?

Planck AI is an enterprise AI platform for working with documents, databases, and business systems through a conversational interface.

Teams can ask questions across files, spreadsheets, databases, and connected systems, and receive structured answers with supporting context.

Planck AI is designed for enterprise use cases where accuracy, access control, and deployment flexibility matter.

### What you can do with Planck AI

* Upload and analyze PDFs, Excel files, and CSVs
* Ask questions about documents and structured data
* Connect databases and query them in natural language
* Connect cloud storage such as Microsoft 365, OneDrive, and SharePoint
* Organize users, data, and conversations using workspaces
* Use the API to build custom applications and workflows

## Documentation sections

### Getting Started

Learn the core concepts behind Planck AI: workspaces, documents, conversations, integrations, and API keys.

### User Guide

Learn how to use Planck AI day to day, including document chat, database chat, conversations, and generated outputs.

### Admin Guide

Set up users, roles, workspaces, cloud providers, API keys, and access controls.

### Integrations

Connect Planck AI to Microsoft 365, OneDrive, SharePoint, databases, and other enterprise systems.

### API Reference

Use the Planck AI API to access workspaces, documents, conversations, chat, database integrations, and admin functions.

### Troubleshooting

Fix common issues related to login, document processing, permissions, cloud sync, and API errors. 

 

 

 

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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://planck-ai.gitbook.io/planck-ai-docs/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.