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

# Introduction

Acknowledgement is the intranet.ai tool for requesting confirmation of content consultation, ensuring colleagues read key documents, pages, and news on the intranet.

Our Acknowledgement tool simplifies internal communication and content management, helping you **distribute the most important documents, pages, and news while tracking their consultation**. Thanks to this component, you can **ensure that your colleagues read fundamental documentation and key updates**.

The tool allows you to send an **email notification** directly from a document library, providing colleagues with quick access to the **documents** to be read. Additionally, by inserting the component within a **page** or **news article**, you can request confirmation of their consultation. Users, in turn, will be able to **confirm** that they have viewed a document or a page by pressing a **dedicated button**.

All confirmation data—whether related to documents or pages—are consolidated into a single **Power BI report**, enabling **real-time monitoring** and a **comprehensive overview of consultation activities**.

In summary, our component offers a simple and effective way to ensure that employees review the procedures, guidelines, and key updates they need for their daily activities.

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Explore the **advantages** of Intranet.ai **Acknowledgement** by [**clicking here**](https://intranet.ai/features/document-acknowledgement/) to learn more.
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