Amazon Q Business is a generative AI-powered assistant that enhances employee productivity by solving problems, generating content, and providing insights across enterprise data sources. Beyond searching indexed third-party services, employees need access to dynamic, near real-time data such as stock prices, vacation balances, and location tracking, which is made possible through Amazon Q Business plugins. Furthermore, Amazon Q Business plugins enable employees to take direct actions within multiple enterprise applications—such as upgrading service ticket priorities—through a single Amazon Q Business interface, eliminating the need to switch between different systems and saving valuable time.
In this post, we explore how Amazon Q Business plugins enable seamless integration with enterprise applications through both built-in and custom plugins. We dive into configuring built-in plugins such as Salesforce, creating custom plugins for specific business needs, and real-world use cases showing how plugins can streamline employee workflows across multiple applications
Plugins enable Amazon Q Business users to use natural language to access non-indexed data (for example, available calendar slots, stock prices, and PTO balance) and take actions (for example, book a meeting or submit PTO) using third-party services such as Jira, ServiceNow, Salesforce, Fidelity, Vanguard, ADP, Workday, and Google Calendar. This provides a more straightforward and quicker experience for users, who no longer need to use multiple applications to complete tasks.
The following figure illustrates a sample architecture using Amazon Q Business plugins.

Amazon Q Business can connect to enterprise applications using over 50 connectors and over 10 plugins. Administrators can use connectors to pre-index the content from enterprise sources into Amazon Q Business to be used by end-users, whereas plugins can be configured to retrieve information and perform actions in real time on enterprise applications. There are two types of plugins:
In the following sections, we discuss the capabilities of built-in plugins and custom plugins, with examples to create each type of plugin.
Amazon Q Business supports more than 50 actions in applications, including:
The following table provides a complete list of the Amazon Q actions available for each application.
| Category | Application | Actions |
| Ticketing and incident management | PagerDuty Advance | • Get incidents • Similar incidents • Root cause incident • Find recent changes • Who is on-call • Status update on incident • Customer impact • Update incident |
| ServiceNow | • Create incident • Read incident • Update incident • Delete incident • Read change request • Create change request • Update change request • Delete change request |
|
| Zendesk Suite | • Search content • Get ticket • Create ticket • Update ticket |
|
| Project management | Atlassian Confluence | • Search pages |
| Jira Cloud | • Read issue • Create issue • Search issue • Change issue status • Delete issue • Read sprint • Move issue to sprint • Create sprint • Delete sprint |
|
| Smartsheet | • Search sheets • Read sheet • List reports • Get report |
|
| Customer Relationship Management (CRM) | Salesforce | • Get account list • Get case • Create case • Delete case • Update case • Get opportunities • Get specific opportunity • Create opportunity • Update opportunity • Delete opportunity • Fetch specific contact • List contacts |
| Communication | Microsoft Exchange | • Get events from calendar • Get email |
| Microsoft Teams | • Send private message • Send channel message (public or private) |
|
| Productivity | Asana | • Create a task • Update a task |
| Google Calendar | • Find events • List calendar |
Salesforce is a CRM tool for managing customer interactions. If you’re a Salesforce user, you can activate the Amazon Q Business plugin for Salesforce to allow your users to perform the following actions from within their web experience chat:
To set up this plugin, you need configuration details from your Salesforce instance to connect Amazon Q Business with Salesforce. For more information, see Prerequisites
After carrying out the prerequisites in Salesforce and capturing configuration details, you need to configure them on the Amazon Q Business console.
To configure the plugin, complete the following steps:


https://yourInstance.my.salesforce.com/services/data/v60.0.
<q-endpoint>, use <q-endpoint>/oauth/callback. Amazon Q Business will handle OAuth tokens in this URL. This callback URL needs to be allowlisted in your third-party application.
https://login.salesforce.com/services/oauth2/token (Salesforce OAuth applications).https://login.salesforce.com/services/oauth2/authorize (Salesforce OAuth applications).
You have successfully added the Salesforce built-in plugin to be used by users. Example usage of this plugin is shown in the end-to-end use case later in this post.
If an action isn’t available through built-in plugins, then you can build a custom plugin and add it to your Amazon Q Business plugins. With custom plugins, you can integrate Amazon Q with third-party applications for a variety of different use cases. After a custom plugin is enabled, users can use natural language to query data (such as stock prices or their vacation balance) and take actions (such as submitting vacation time or updating a record).
Creating and using custom plugins requires the following high-level steps:
The HR Time Off custom plugin is designed to help employees manage their time off requests through Amazon Q Business. An employee can use this custom plugin to perform the following actions directly from an Amazon Q business web experience chat:
The following figure shows the architecture of this plugin.

This integration allows employees to manage their time off requests seamlessly in Amazon Q Business without having to switch between different applications, improving productivity and user experience.
For an AWS CloudFormation template and code samples to deploy an HR Leave Management System application along with the Amazon Q Business plugin, refer to the following GitHub repo.
To configure Amazon Q Business with the API details, complete the following steps:



Your secret must contain:
<q-endpoint>, use <q-endpoint>/oauth/callback. Amazon Q Business will handle OAuth tokens in this URL. This callback URL needs to be allowlisted in your third-party application.
You have successfully added the HR Time Off custom plugin to be used by users. Example usage of this plugin is shown in the end-to-end use case later in this post.
Sarah, a Customer Success Manager, demonstrates the seamless use of multiple applications through Amazon Q Business. Using Amazon Q Business, she uses a Salesforce built-in plugin to check high-value opportunities and create cases, uses ServiceNow’s built-in plugin for ticket management on email synchronization issues of her laptop, and uses a custom HR plugin to check her PTO balance and submit time off requests.
To enable Sarah’s seamless experience across multiple applications, an Amazon Q Business administrator needs to implement a comprehensive configuration that combines both built-in and custom plugins. This enterprise-wide setup consists of:
This integrated setup, shown in the following figure, enables employees to interact with multiple enterprise systems through a single, conversational interface, significantly improving workflow efficiency and user experience.

The following screenshot shows all the plugins available for end-user.

In the following sections, we explore the end-to-end user flow for this use case.
Sarah selects the Salesforce built-in plugin from the Amazon Q Business Chat UI and asks Amazon Q to provide details about high-value opportunities, as shown in the following screenshots.


During the first use of the Salesforce plugin, Amazon Q Business will authenticate the user through Salesforce’s login interface, as shown in the following screenshot. For users who have already authenticated through enterprise single sign-on (SSO) or directly using their Salesforce login, only an API access approval will be requested.

After authentication and API access approval by the user, the plugin returns the results in real time from Salesforce, as shown in the following screenshot.

Later, Sarah creates a new case in Salesforce to follow up with high-value client, as shown in the following screenshot.

A case is created successfully in Salesforce, as shown in the following screenshot.

Sarah encounters an email synchronization issue on her laptop. Sarah searches Amazon Q Business for guidance on troubleshooting the issue. Given that Amazon Q Business has already indexed IT Helpdesk documents from Amazon S3, it returns troubleshooting steps, as shown in the following screenshot.


Sarah couldn’t resolve the issue after following the troubleshooting documentation. She chooses the ServiceNow plugin in the Chat UI and creates a ServiceNow ticket for further analysis, as shown in the following screenshot.

During the first usage of the ServiceNow plugin, Amazon Q Business will authenticate the user through ServiceNow’s login interface, as shown in the following screenshot.

For users who are already authenticated through enterprise SSO or directly using their ServiceNow login, only an API access approval is required, as shown in the following screenshot.

As shown in the following screenshot, an incident is successfully created in ServiceNow.

An incident is created successfully in ServiceNow as show below. This shows the creation capability of built in plugin.

She updates the ticket priority to high for faster resolution as show below. This shows the update capability of built in plugin.


Impact and Urgency of the incident is updated to high in ServiceNow in real-time as shown in below figure. This shows the update capability of built in plugin.

Sarah needs to plan her upcoming vacation. She uses Amazon Q to check her available PTO balance through the HR custom plugin, as shown in the following screenshot. This demonstrates the real-time secure retrieval capability of custom plugins.

She submits a time off request directly through Amazon Q, as shown in the following screenshots.


Sarah’s experience demonstrates how Amazon Q Business plugins enable seamless real-time interaction across multiple enterprise applications—from managing Salesforce opportunities and ServiceNow tickets to submitting time off requests—all through a single conversational interface, eliminating application switching and improving productivity.
To clean up, delete the Amazon Q application you created.
Amazon Q Business actions through plugins represent a significant advancement in streamlining enterprise workflows and enhancing employee productivity. As demonstrated in this post, these advancements can be seen across three key areas:
What enterprise workflows in your organization could benefit from streamlined automation through Amazon Q Business plugins? Whether it’s integrating existing enterprise applications through built-in plugins or creating custom plugins for your proprietary systems, Amazon Q Business provides the flexibility to enhance employee productivity across your organization. Try implementing plugins in your Amazon Q Business environment today, and share your feedback and use cases in the comments.
Abhishek Maligehalli Shivalingaiah is a Senior Generative AI Solutions Architect at AWS, specializing in Amazon Q Business. With a deep passion for using agentic AI frameworks to solve complex business challenges, he brings nearly a decade of expertise in developing data and AI solutions that deliver tangible value for enterprises. Beyond his professional endeavors, Abhishek is an artist who finds joy in creating portraits of family and friends, expressing his creativity through various artistic mediums.
Marcel Pividal is a Senior AI Services Solutions Architect in the World-Wide Specialist Organization, bringing over 22 years of expertise in transforming complex business challenges into innovative technological solutions. As a thought leader in generative AI implementation, he specializes in developing secure, compliant AI architectures for enterprise-scale deployments across multiple industries.
Sachi Sharma is a Senior Software Engineer at Amazon Q Business, specializing in generative and agentic AI. Beyond her professional pursuits, Sachi is an avid reader and coffee lover, and enjoys driving, particularly long, scenic drives.
Manjukumar Patil is a Software Engineer at Amazon Q Business with a passion for designing and scaling AI-driven distributed systems. In his free time, he loves hiking and exploring national parks.
James Gung is a Senior Applied Scientist at AWS whose research spans diverse topics related to conversational AI and agentive systems. Outside of work, he enjoys spending time with his family, traveling, playing violin, and bouldering.
Najih is a Senior Software Engineer at AWS Q Business. He is passionate about designing and scaling AI based distributed systems, and excels at bringing innovative solutions to complex challenges. Outside of work, he enjoys lifting and martial arts, particularly MMA.
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