Integrate Atlassian Confluence Cloud with Amazon Quick

Artificial Intelligence Integrate Atlassian Confluence Cloud with Amazon Quick Teams can integrate Atlassian Confluence Cloud with Amazon Quick to search and manage documentation without switching between multiple systems. When documentation lives in Confluence, but related data sits in other systems, teams waste time switching tools, re-searching for context, and manually gathering information. These interruptions slow decisions and create gaps between available knowledge and actionable insights. The direct integration with Confluence Cloud reduces context switching by making your Confluence content searchable through natural language queries directly from the Quick interface. Teams can query Confluence pages, retrieve documentation, and update content while accessing data from other integrated systems such as Amazon Simple Storage Service (Amazon S3), Atlassian JIRA, or other business applications. In this post, you will learn how to set up the Confluence Cloud integration with Quick. This includes creating a knowledge base for semantic search, setting up Actions to query and manage Confluence pages, and organizing resources in Quick Spaces. Quick integrates with your current enterprise technology stack, from internal knowledge repositories and corporate intranets to business-critical applications and AWS data services. These integrations span three categories: Actions for executing tasks across connected applications, knowledge bases for indexing unstructured content like documents and wikis, and Topics and Datasets for natural language querying over structured data sources like Amazon Redshift. This post focuses on setting up Knowledge bases and Actions. Actions connect Quick to external systems at the time of prompt or query. You can read, write, and automate tasks directly within Quick. There are three ways to set up an Action integration: - Through a built-in connector (a pre-built, configuration-driven integration for popular tools like Confluence Cloud, Jira, and Salesforce) - Using a custom REST API using an OpenAPI specification (for connecting your own or third-party APIs) - Through an Model Context Protocol server (MCP) (a flexible, standards-based approach that allows dynamic tool discovery from custom or third-party MCP servers). Some services, like Confluence Cloud, support multiple integration paths. This post will focus on setting up an action integration using the built-in connector. Knowledge bases index content before users query it. When you create a knowledge base, Quick connects to external systems like Confluence Cloud or JIRA, retrieves your documents and wikis, and builds a searchable index. When users ask questions, Quick retrieves relevant information from this pre-built index rather than connecting to the external system in real time. This approach makes unstructured content instantly searchable through natural language queries. Together, Actions and knowledge bases give you flexible, complementary ways to bring your enterprise data and workflows into Quick. Prerequisites Before you set up Confluence integration, make sure that you have the following: - Atlassian Confluence Cloud and developer account with administrator permissions to create OAuth 2.0 applications and manage API scopes - Amazon Quick subscription: Quick Enterprise (to create integrations) or Quick Professional (to use existing integrations) - AWS account with appropriate AWS Identity and Access Management (IAM) permissions to access Quick and create integrations The integration in this…