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

# User Invitations

Admins and Superusers have the privileges to effectively manage user invitations and roles within the system. 

## Invite User

Here is the process to invite new users. 

1. Navigate to the "Users" icon and click the **"Invite new"** button.
2. Provide the email address of the user and role they will be assigned.
3. Click the **Save** button.

The invited users then get an invitation email that includes the instructions to sign-in to Karini's platform. 

## User Invitation Status

Admin and Superusers can track the status of the invitations sent by doing the following:

1. Access the "Invitations" tab on Users section on the right panel.
2. View the status (Invited/Accepted) of each invitation.


---

# 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, and the optional `goal` query parameter:

```
GET https://karini-ai.gitbook.io/karini-ai-documentation/user-management/user-invitations.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.