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November 6, 2025|
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Introduction
AWS has just unveiled one of its most significant business intelligence transformations with the general availability of Amazon Quick Suite, marking the evolution of the familiar Amazon QuickSight platform into an agentic AI-powered workspace. This groundbreaking announcement, made on October 9, 2025, represents more than just a rebranding; it’s a complete reimagining of how businesses interact with data, conduct research, and automate workflows. Quick Suite transforms traditional business intelligence from simple data visualization into an intelligent, proactive digital teammate that can answer complex questions, conduct research, and take actions across your entire business ecosystem.
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Overview
Amazon QuickSight customers will seamlessly transition to Quick Suite, retaining all existing business intelligence capabilities under the new “Quick Sight” component while gaining access to revolutionary AI-powered features.
Core Components of Quick Suite
Quick Research accelerates complex research by combining enterprise knowledge, premium third-party data, and internet sources for comprehensive insights that previously took days or weeks to compile. The research agent systematically breaks down complex questions into organized research plans and works autonomously to gather information from multiple sources with advanced reasoning and citation capabilities.
Quick Sight (the evolved BI component) provides AI-powered business intelligence that transforms data into actionable insights through natural language queries and interactive visualizations. Users can create dashboards using conversational prompts and perform what-if analysis through natural language scenarios.
Quick Flows enables any user to automate repetitive tasks by describing workflows in natural language without technical knowledge. These flows can retrieve information from internal and external sources, execute actions in business applications, and fulfill process-specific requirements.
Quick Automate helps technical teams build sophisticated automation for complex, multi-step processes that span departments and involve third-party integrations. It’s designed for comprehensive business processes, such as customer onboarding, procurement automation, and compliance procedures.
Quick Index serves as the foundational component, creating a secure, searchable repository that consolidates documents, files, and application data to power AI-driven insights across the organization.
Amazon Quick Suite Home Page Interface
Enterprise Integration Capabilities
Quick Suite includes over 50 built-in connectors for popular business applications, including Adobe Analytics, SharePoint, Snowflake, Google Drive, OneDrive, Outlook, ServiceNow, Databricks, Amazon Redshift, and Amazon S3. Through OpenAPI and Model Context Protocol (MCP) integrations, customers can connect to over 1,000 additional applications from providers like Atlassian, Asana, Box, Canva, PagerDuty, Workato, and Zapier.
Availability and Pricing Structure
Quick Suite is available in four AWS regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland), with expansion to additional regions planned. The platform offers per-user subscription-based pricing with consumption-based charges for Quick Index and optional features, and new customers receive a 30-day free trial for up to 25 users.
Professional ($20/user/month) includes chat agents, Quick Sight dashboards, Quick Research, and Quick Flows with 2 research hours and 2 workflow hours monthly.
Enterprise ($40/user/month) adds Quick Automate authoring, dashboard creation, and knowledge base management with double the agent hours allocation.
Additional costs include a $250 monthly infrastructure fee per account and Quick Index storage at $ 1 per MB per month, beyond the free 50MB. Extra agent hours cost $3 for workflows and $6 for research.
New customers receive a 30-day free trial for up to 25 users with no subscription or infrastructure fees.
Conclusion
Amazon Quick Suite represents a paradigm shift in business intelligence and enterprise productivity, transforming Amazon QuickSight from a traditional BI tool into a comprehensive agentic AI workspace. For existing QuickSight users, this evolution means enhanced capabilities without disrupting current data connectivity, security settings, or user permissions. The platform addresses the modern business challenge of fragmented workflows by providing a unified digital workspace where AI agents can seamlessly move from data analysis to research to automation. As organizations increasingly seek to leverage AI meaningfully while maintaining enterprise security and governance, Quick Suite positions itself as a bridge between AI potential and practical business outcomes.
Drop a query if you have any questions regarding Amazon Quick Suite and we will get back to you quickly.
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FAQs
1. Will existing Amazon QuickSight dashboards and data connections be affected by the transition to Quick Suite?
ANS: – No, existing Amazon QuickSight customers will experience a seamless upgrade to Quick Suite, where all existing Amazon QuickSight business intelligence capabilities (now called “Quick Sight”) remain intact. Your data connectivity, user access, content, security controls, user permissions, and privacy settings remain unchanged, with no data moved, migrated, or altered.
2. What makes Quick Suite different from traditional business intelligence tools?
ANS: – Quick Suite goes beyond traditional BI by combining agentic AI teammates for research, business intelligence, and automation into a unified workspace. Unlike conventional tools that focus primarily on visualizing structured data, Quick Suite can conduct in-depth research across enterprise and external sources, automate complex workflows through natural language processing, and take actions across multiple business applications.
3. Can Quick Suite integrate with existing business applications and workflows?
ANS: – Yes, Quick Suite includes over 50 built-in connectors to popular business applications and supports integration with 1,000+ additional apps through OpenAPI and Model Context Protocol. The platform can automate tasks across various applications, including creating Jira tickets, updating ServiceNow incidents, and managing workflows in Office 365, Slack, and other enterprise tools.
WRITTEN BY Sridhar Andavarapu
Sridhar Andavarapu is a Senior Research Associate at CloudThat, specializing in AWS, Python, SQL, data analytics, and Generative AI. He has extensive experience in building scalable data pipelines, interactive dashboards, and AI-driven analytics solutions that help businesses transform complex datasets into actionable insights. Passionate about emerging technologies, Sridhar actively researches and shares knowledge on AI, cloud analytics, and business intelligence. Through his work, he strives to bridge the gap between data and strategy, enabling enterprises to unlock the full potential of their analytics infrastructure.
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