---
id: "en/ai-assistant"
title: "Enterprise AI Assistant"
language: "en"
description: "The enterprise AI assistant integrates Zhichao AI applications in the form of conversations to help users check files, ask for knowledge, read documents and complete office tasks."
canonical_url: "https://www.babel.cc/public/babelwiki/en/ai-assistant.html"
markdown_url: "https://www.babel.cc/public/babelwiki/ai/en/ai-assistant.md"
alternates: {"en": "https://www.babel.cc/public/babelwiki/ai/en/ai-assistant.md", "zh": "https://www.babel.cc/public/babelwiki/ai/zh/ai-assistant.md"}
reading_note: "文档记录不等于当前部署能力；以实际版本、授权模块与配置为准。保留原文的可选、限制及待确认说明，勿补猜接口。 / Documentation is not a guarantee for every deployment. Preserve optional-module requirements, limitations and unresolved API contracts."
---

# Enterprise AI Assistant

The enterprise AI assistant integrates Zhichao AI applications in the form of conversations to help users check files, ask for knowledge, read documents and complete office tasks.

![Zhichao conversation](https://www.babel.cc/public/babelwiki/assets/images/whitepaper/whitepaper-094.png)
*Conversation interface from the whitepaper; controls vary by version.*

## Function description

The enterprise AI assistant is a unified conversation portal for ordinary employees. Users do not need to first decide whether to use search, image search, document assistant or knowledge base robot. They can directly ask questions through dialogue, and AI will complete retrieval, reading, analysis or further guidance in corporate materials and enabled modules.

## Main abilities

- Integrate most Zhichao applications in the form of conversations.
- Answer the knowledge points involved in all documents within the scope of authorization of the enterprise.
- Search drive files in multiple dimensions through multiple rounds of conversations.
- Can be combined with Internet search to answer external knowledge questions.
- Switch to deep thinking mode to deal with complex problems.
- Supports multimodal input and output capabilities, specific capabilities depend on deployment model and module configuration.
- Can be used as a data assistant, document assistant and knowledge Q&A portal for employees in their daily work.

## Relationship with Document Assistant

The document assistant pays more attention to the reading and Q&A of "single documents"; the enterprise AI assistant pays more attention to comprehensive queries and task entries "within the scope of enterprise data". The two can complement each other: users first find files through the enterprise AI assistant, and then enter the document assistant to read in depth.


## Permissions and usage boundaries

- Internal AI assistance, search and file references follow BabelBird permissions. Custom knowledge-base bots also have a knowledge scope and publication scope; anonymous publication should use knowledge suitable for that audience.
- Uploaded BabelBird files that AI can read are automatically ingested and vectorized for AI assistance, AI search and image search. Ingestion does not make files public. A custom knowledge-base bot uses the file scope selected or uploaded for it.
- External customer service, website embedding, third-party data sources, privately deployed models and GPU computing power are optional deployment or customization capabilities and should be subject to actual authorization, implementation plan and enterprise configuration.
- When AI answers involve high-risk content such as contracts, finance, medical, legal, and engineering safety, the AI ​​output should be used as auxiliary information and reviewed by professionals.

## Related information

- [Permission system](https://www.babel.cc/public/babelwiki/en/permissions.html)
- [Security and Audit](https://www.babel.cc/public/babelwiki/en/security.html)
- [FAQ: Deployment, AI and technical issues](https://www.babel.cc/public/babelwiki/en/faq-technical.html)
- Public introduction: <https://zhuanlan.zhihu.com/p/2052372550513072059>