Accelerate your Amazon Quick implementation: Starter kit for rapid deployment
Learn how to deploy Amazon Quick, an AI-powered workspace with agents, automation, and business intelligence, in minutes using this AWS starter kit with automated infrastructure, user management, and enterprise authentication through AWS IAM Identity Center.
Whether you're a business looking to use agentic AI, or an enterprise team seeking to quickly deploy a secure, scalable AI workspace, getting started can feel overwhelming. Questions like "How do I set up authentication?", "What are the best practices for user management?", and "How do I monitor usage and costs?" are common challenges. AWS is here to help with a starter kit that addresses these concerns.
Starter kits provide complete, deployable solutions that address common, repeatable business problems. They deploy services according to AWS best practices, helping you optimize costs and become familiar with architectural patterns without a large investment in training. Most importantly, starter kits save you time that can be better spent on your business or with your customers.
In this post, we present a starter kit for Amazon Quick . If you want to provide your team with an AI-powered workspace, desktop and mobile application that unifies AI agents for research, business insights, and automation—all secured with enterprise-grade authentication—then this solution is for you.
What is Amazon Quick?
Amazon Quick is an agentic AI-powered digital workspace that answers your questions and turns those answers into actions using agentic teammates for research, business insights, and automation.
Quick helps you make better decisions faster by unifying AI agents for research, business insights, and automation. You can connect to diverse data sources, create interactive dashboards, build intelligent automations, and get immediate insights through natural language.
Amazon Quick includes five core capabilities that work together:
- Amazon Quick Sight - Create interactive dashboards from multiple data sources, including AWS data, third-party data, spreadsheets, and SaaS data. Amazon Quick Sight uses the SPICE in-memory analytics engine and provides embedded analytics for applications and websites.
- Amazon Quick Flows - Build automations to handle repetitive or routine tasks using simple, everyday language prompts.
- Amazon Quick Automate - Create sophisticated multi-agent automations for your most business-critical processes. Handle multi-agent automation for complex enterprise processes that span across departments, systems, and third-party systems.
- Amazon Quick Index - Connect and contextualize organizational data from multiple sources into a single repository for efficient search and retrieval.
- Amazon Quick Research - Conduct in-depth research across large volumes of documents and datasets using AI-powered tools to uncover insights, patterns, and relationships.
Additionally, Spaces serve as collaborative workspaces that aggregate data, dashboards, and knowledge for specific teams or domains, while custom agents are AI-powered assistants that you can configure to help users explore data, analyze information, and perform specific tasks within your organization's context.
Solution Overview
The following diagram illustrates the starter kit solution architecture.
The workflow involves the following steps:
- User initiates login to Amazon Quick through the web interface
- Authentication redirect - Amazon Quick redirects to AWS IAM Identity Center for authentication
- Credential validation - AWS IAM Identity Center validates user credentials and returns an authentication token
- Role-based access - Amazon Quick grants access based on the role you assign to the user
- Workspace access - Users can now access Quick features according to their role permissions
What this starter kit provides
This starter kit automates the deployment and management of Quick with:
- Infrastructure as Code - AWS Cloud Development Kit (CDK) deployment of Quick with AWS IAM Identity Center
- User Management - Command-line interface (CLI) tools for managing users and groups
- Monitoring - Tools to track usage and costs
- Best Practices - Pre-configured security and governance settings
The starter kit uses AWS IAM Identity Center to manage user identities and group memberships. The solution maps groups to Amazon Quick roles, providing granular access control. If you don't provide an existing Identity Center instance, the solution creates an account-level instance automatically. You can also provide an existing account-level or organizational Identity Center instance.
Prerequisites
Before deploying the solution, make sure you have the following in place:
- AWS account - An active AWS account with the necessary permissions to deploy CDK stacks and create the required resources
- Development tools - AWS CLI configured with appropriate credentials, Node.js, Python, and Docker for AWS Lambda bundling
- Region selection - Amazon Quick's AI capabilities are only available in certain AWS Regions. Check the Quick FAQs for current regional availability
Deploy the solution
The deployment process is straightforward and takes approximately 15 minutes. The starter kit handles all the infrastructure setup, so you can focus on adding users and configuring access.
Deployment steps
- Deploy the infrastructure - Clone the repository and run the CDK deployment
- Create an admin user - Use the operator tools to create your first administrator
- Access Quick - Sign in and start using your AI-powered workspace
For complete step-by-step instructions, see the Getting Started guide in the GitHub repository.
Managing users and groups
After initial deployment, use the included operator tools to manage your Quick instance and identity provider. The tools provide simple commands for:
- Creating and managing users
- Setting up role-based groups
- Monitoring account usage and costs
For detailed documentation on all operator tools and configuration options, see the Operator Tools documentation in the repository.
Next steps: Building your AI workspace
Once your Quick instance is deployed and users can sign in, you can start building your AI-powered workspace. Here's how to get value:
Start with data - Connect your first data sources (SharePoint, OneDrive, Google Drive, or Amazon S3) to create knowledge bases or directly upload files to spaces. This gives your AI agents access to organizational information to answer questions.
Create your first dashboard - Use Amazon Quick Sight to connect to your data and create visualizations. Start simple with a single data source and build from there.
Set up actions - Configure integrations with tools your team already uses like ServiceNow, Jira, Asana, or PagerDuty. This lets Quick create tickets, update tasks, and automate workflows across these systems. Quick Suite supports thousands of actions through built-in libraries, plus custom integrations using OpenAPI or Model Context Protocol (MCP).
Build automations - Create your first Quick Flow to automate routine tasks, or use Quick Automate for complex enterprise processes that span across departments and systems.
Organize with Spaces - Set up project spaces for different teams with curated data sources and workflows relevant to their work.
Deploy extensions (optional) - Install browser extensions for Chrome, Edge, or Firefox, and Microsoft 365 add-ins for Outlook, Word, and Teams. Mobile apps are available for iOS and Android with your enterprise Quick instance.
For complete guidance on using these capabilities, see the Quick User Guide .
Cleanup
To remove all resources and avoid ongoing costs, follow the cleanup instructions in the repository documentation.
Conclusion
The Amazon Quick starter kit provides an automated solution for businesses to use agentic AI, workflow automation, and business intelligence. By automating the deployment and integration with AWS IAM Identity Center, this kit eliminates the complexity of setting up Quick Suite, so businesses can quickly gain insights, automate processes, and improve productivity.
With Quick deployed through this starter kit, you get:
- Unified AI workspace - Research, automation, and analytics in a single platform
- Enterprise-grade security - AWS IAM Identity Center authentication with role-based access control
- Multi-platform access - Web, browser extensions, Microsoft 365 add-ins, and mobile applications
- Operational tools - CLI utilities for user management and usage monitoring
- Best practices built-in - Infrastructure as code with AWS CDK following AWS Well-Architected principles
Get started today by visiting the GitHub repository and following the Getting Started guide . Deploy your Quick environment in minutes, add your team members, and start experiencing the benefits of agentic AI in your organization.
For more Quick resources, tips, and community discussions, visit the Amazon Quick Community .
About the authors
[Author bios would be added here based on the actual authors of the blog post]
Tags: Amazon Quick, Amazon QuickSight, AWS IAM Identity Center, Agentic AI, Business Intelligence, Workflow Automation, Starter Kits
Enjoyed reading this content? Let the author know!
Your likes, comments, shares, and saves help creators reach more builders.
Loading recommendations
Loading article