---
sourceDocument: Brazil Workflow Data Fabric
sourceDocumentLink: https://www.servicenow.com/docs/r/integrate-applications

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Workflow Data Fabric

ft:clusterId :

    - crint

bundleId :

    - crint

workflow :

    - Creator


---

# Meeting scheduler AI agent

# Meeting scheduler AI agent {#ariaid-title1}

Release version: Brazil  
Updated September 10, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read  
Now Assist for Integration Hub application provides standalone AI agent that mimics human-like intelligence to perform tasks in your ServiceNow instance. Meeting scheduler AI agent that can be used to organize Zoom or Teams meetings and create regular calendar events.
This AI agent retrieves details of available rooms, details of the relevant users you want to invite such as, email address and timezone, finds an available time slot, creates a calendar event, and generates a Zoom URL for the meeting. The logged-in user who runs the AI agent is marked as the meeting's organiser or host. This AI agent can create 3 types of events:

* A regular calendar event: This is a meeting placeholder with no URL and location.
* Teams event: This a meeting where attendees can join Microsoft Teams meeting.
* Zoom event: This a meeting where attendees can join the meeting using Zoom URL.
{#meeting-scheduler-ai-agent__ul_ryw_ddq_chc}  
Important:  
To use this AI agent, ensure that you have activated the [Microsoft Exchange Online Spoke](https://www.servicenow.com/docs/J9_z1cGerf98YU6OKcXD1g "The Microsoft Exchange Online spoke creates and manages calendar and mail in Microsoft Exchange Online. To create, manage, or delete users and groups, use the Microsoft Azure AD spoke.") and configured the client credential alias. To generate Zoom URL for the meeting, you must activate and configure the [Zoom Spoke](https://www.servicenow.com/docs/ixjqESOK1yA2jeMTRjDcuQ "Create and manage Zoom meetings with the Zoom spoke from your ServiceNow instance. With this spoke, you can add participants, retrieve details, end or delete a meeting, or fetch the participant details of a conference.").  
In this example, Manish (the logged-in user) uses the Meeting scheduler AI agent from Now Assist panel to schedule a meeting with Vivek and provides details about the date, place, and meeting agenda. In this case, the AI
agent schedules the meeting with most relevant user (based on collaboration and organizational context) named Vivek. If the AI agent is not able to retrieve details of the most relevant user from Microsoft Exchange Online, details of all users whose names match Vivek are retrieved from the ServiceNow User table \[sys_user\] and displayed, and logged-in user Manish can choose the required user.

AI agent then displays the list of available time slots. Manish can select the feasible time slot. You can also view the AI steps. If a time slot at the mentioned time is unavailable, AI agents expands the search window to 2
days and displays the list of available slots.  
Manish can review the meeting details and proceed with scheduling the meeting.  
Once the meeting is created, the details are displayed.

The event is added to your Outlook calendar and you can also view the meeting details in Outlook.

Using AI agent, Manish can also modify the meeting by adding room of the required capacity and in a specified location, adding more attendees, changes date or time, and so on.  
* In the ServiceNow agentic system, you can create an agentic workflow that comprises of a set of large language model (LLM) instructions along with one or more standalone AI agents to execute an objective. See [Create an agentic workflow](https://www.servicenow.com/docs/access?context=configure-use-case-ai-agents&version=brazil&pubname=brazil-intelligent-experiences&ft:locale=en-US) for information about adding AI agents to create agentic workflows as per your requirement and provide the required trigger.

  You can also search for other
  available AI agents and add them to your agentic workflow. See [Find AI agents](https://www.servicenow.com/docs/access?context=find-ai-agents&version=brazil&pubname=brazil-intelligent-experiences&ft:locale=en-US) for more information.
* You can create a clone of the required spoke AI agent and customize it as per your requirement. See [Duplicate an AI agent](https://www.servicenow.com/docs/access?context=clone-ai-agent&version=brazil&pubname=brazil-intelligent-experiences&ft:locale=en-US) for more information about creating a clone.
* See [AI Agent Studio (legacy)](https://www.servicenow.com/docs/access?context=na-ai-agents&version=brazil&pubname=brazil-intelligent-experiences&ft:locale=en-US) for information about AI agents.

{#meeting-scheduler-ai-agent__ul_tjz_vtr_m2c}

There might be AI agents installed on your instance that are not used in agentic workflows. To learn how to see all agents that are available to you, see [Find AI agents](https://www.servicenow.com/docs/access?context=find-ai-agents&version=brazil&pubname=brazil-intelligent-experiences&ft:locale=en-US).  
Note:  
Ensure that the user running an AI agent has the required roles and permissions to access data or perform operations on data in the table that is associated with the AI agent.