What Is Amazon Quick? The Agentic AI Assistant Replacing Amazon Q Business
Amazon Quick is AWS's agentic AI assistant for work, "agentic" meaning it can take independent actions and execute multi-step tasks, not just answer questions. Launched April 28, 2026, Quick replaces the reactive chat interface of Amazon Q Business with a proactive, module-based approach: five purpose-built modules handle everything from collaborative workspaces to autonomous agents that execute workflows across your entire software stack.
Not a coding tool. Amazon Quick is built for business users and knowledge workers. If you're looking for AWS's coding assistant, that was Amazon Q Developer, which is being sunset in favor of Kiro as of May 15, 2026. Quick occupies the business AI assistant space alongside Microsoft Copilot, Google Gemini for Workspace, and Glean.
What Is Amazon Quick
Amazon Quick is a five-module AI assistant that connects to your organization's data across AWS services, third-party SaaS platforms, and on-premise systems. Designed from the ground up as an agentic system by AWS's business AI division, Quick was built: instead of waiting for prompts and responding with text, it autonomously plans, executes, and learns from multi-step workflows.
The product bridges a gap that previous AWS AI offerings left open. Amazon Q Business (launched in 2024) was a conversational retrieval tool that searched enterprise data and produced answers. Quick replaces it entirely with a platform where AI agents can access real-time business data, trigger actions in connected tools like Salesforce and Jira, and improve their performance through feedback loops.
What separates Quick from other business AI assistants is its cross-ecosystem design. While Microsoft Copilot is deeply tied to the M365 stack and Google Gemini for Workspace is rooted in Google apps, Quick is built to be platform-agnostic from the start. It ships with native extensions for Microsoft 365 apps (Excel, Outlook, PowerPoint, Word), Google Workspace connectors, Slack and Teams messaging integrations, and browser extensions for Chrome, Edge, and Firefox.
How Amazon Quick Works
When you open Quick, you choose from five modules. They share a common data layer and can reference each other's outputs, but each has its own interface and workflow logic.
Quick Spaces
Think of Spaces as project-specific chat rooms where the AI has persistent memory of every document, conversation, and decision within that space. Unlike a generic chatbot, Spaces integrate directly with connected data sources, so the AI can pull real-time figures from Salesforce, surface relevant Jira tickets, or reference past meeting notes without manual uploads. Teams share a single context window rather than re-explaining background to the assistant every session.
Quick Agents
Agents are where Quick earns the "agentic" label. Instead of answering a question and stopping, an agent plans a sequence of actions, executes them across multiple connected systems, handles errors and retries, and reports results. A practical example: an agent could pull a sales pipeline from Salesforce, cross-reference it against a QuickSight forecast, draft a summary email in Outlook, and post the highlights to a Slack channel, all from a single prompt.
Agent creation is available starting at the Plus tier ($20/user/month, billed annually), which adds shared Spaces, custom agents, and browser extensions. Professional ($20/user/month plus a $250/account/month infrastructure fee) adds QuickSight BI, RBAC/SSO, and 4 agent hours per month (2 agentic + 2 research). Enterprise ($40/user/month plus the same $250 infrastructure fee) unlocks Quick Automate, dashboard creation, and 8 agent hours per month (4 agentic + 4 research). Agent time is metered, not unlimited: overage runs $3 per agentic hour and $6 per research hour.
Quick Research
Research goes beyond "search your docs and give me a summary." It synthesizes information from enterprise data, web sources, and connected databases into structured reports: cross-referencing multiple sources, flagging contradictions, and producing cited summaries with provenance chains. The closest analog is Perplexity's deep research mode, but scoped to your organization's data rather than the open web.
QuickSight BI Integration
If your organization already uses AWS QuickSight for dashboards and analytics, this module lets you query those datasets in plain English. Ask a question, get a visualization. The value proposition is narrow but sharp: it removes the need for analysts to translate business questions into SQL or dashboard filters.
Quick Automate
The Automate module covers two sub-modules: Quick Flows for visual workflow building (drag connectors between steps, set conditions, schedule runs) and Quick Automate for event-driven triggers that fire agents when specific conditions are met. Together, they target the same space as Zapier or Power Automate, but with the advantage of direct access to Quick's agentic execution layer and connected data sources. Quick Flows is available on all tiers including Free; Quick Automate requires the Enterprise tier.
Quick vs Q Developer vs Kiro
AWS now has three distinct AI product lines aimed at different users, and the naming overlap between Amazon Q and Amazon Quick has caused understandable confusion. Here is how they map:
| Product | Target User | Status (May 2026) | Core Function |
|---|---|---|---|
| Amazon Quick | Business users, knowledge workers | Active (launched Apr 28, 2026) | Agentic AI assistant with 5 modules for research, automation, BI, collaboration |
| Amazon Q Developer | Software engineers | Sunset (May 15, 2026) | IDE-integrated coding assistant, code generation, security scanning |
| Kiro | Software engineers | Active (replaces Q Developer) | AI-powered coding environment that writes software from requirements documents |
| Amazon Q Business | Business users | Superseded by Quick | Conversational enterprise search and retrieval (reactive model) |
The key distinction is that Quick is for non-technical workers who need AI-powered research, automation, and cross-platform collaboration. Q Developer (now Kiro) is for engineers writing code. If you're evaluating Quick against a competitor, the relevant comparison is Amazon Quick vs Microsoft Copilot, not Quick vs GitHub Copilot.
Integrations & Platform Support
Amazon Quick's most aggressive differentiator is its cross-ecosystem reach. AWS designed it to work inside competitors' platforms, not just alongside them. That means native integrations with both Microsoft 365 and Google Workspace, plus direct connections to the most widely used SaaS tools.
Additional integrations include Zoom, QuickBooks, Jira, HubSpot, Asana, Airtable, and Dropbox. Quick also ships with a native desktop application for macOS and Windows that provides a unified interface outside the browser.
Who Should Use Amazon Quick
Amazon Quick targets organizations that already have AWS infrastructure but need a business productivity AI layer that reaches beyond the AWS console. It is also positioned at multi-cloud shops that want a single AI assistant spanning Microsoft, Google, and AWS ecosystems.
Customer Adoption
AWS published specific productivity metrics from several enterprise deployments that had been piloting earlier versions of the platform before Quick's general availability launch.
According to AWS, 3M deployed Quick across knowledge worker teams and measured an average of 5 hours saved per employee per week, primarily from automated research synthesis and document drafting. AWS also reports that Amazon Books achieved an 80% reduction in the time leaders spent developing coordination documents, and engineering teams cut factory test times by 67%. These figures are vendor-reported and have not been independently verified.
According to AWS, Vertiv plans to scale its Amazon Quick users by 25% or more in 2026, a stated goal rather than a realized outcome at this stage. DXC Technology deployed Quick across global operations, and both BMW Group and AstraZeneca are named as early adopters, though AWS has not published specific metrics from those deployments.
Pricing Overview
Amazon Quick uses a four-tier pricing model. The Free tier includes chat, research, Spaces, Quick Flows, integrations, file access, and web app building. Plus and Professional add desktop apps, shared Spaces, custom agents, and progressively more admin controls. Enterprise adds Quick Automate and the highest agent hour allocation. Professional and Enterprise both carry a $250/account/month infrastructure fee on top of per-user pricing. For a full breakdown of pricing mechanics and cost-per-user analysis at different team sizes, see our Amazon Quick Pricing and Licensing Guide.
Check the Quick pricing page for current trial offers and any changes to tier features since launch.
Limitations
Amazon Quick is a three-week-old product at the time of writing. While the launch signals AWS's strategic intent in business AI, several practical limitations should inform purchasing decisions.
FAQ
Is Amazon Quick the same as Amazon Q?
No. Amazon Quick is a new product launched April 28, 2026. Amazon Q was a family name covering Q Business (enterprise chat) and Q Developer (coding assistant). Quick replaces Q Business with an agentic, module-based approach. Q Developer is being replaced by Kiro.
Does Amazon Quick work outside of AWS?
Yes. Quick supports 100+ integrations including Microsoft 365, Google Workspace, Slack, Teams, Salesforce, and Jira. It also ships with a native desktop app (macOS and Windows) and browser extensions for Chrome, Edge, and Firefox. An AWS account is required for administration, but end users access Quick through these integrated surfaces.
Can I try Amazon Quick for free?
Yes. The Free tier includes chat, research, Spaces, Quick Flows, and integrations at no cost. Check the Quick pricing page for current trial offers on Plus, Professional, and Enterprise features. See our pricing guide for a detailed tier comparison.
How does Amazon Quick compare to Microsoft Copilot?
Quick and Copilot target the same market but with different architectures. Copilot is deeply embedded in the M365 ecosystem and pulls context from your organization's emails, documents, and calendar through Microsoft Graph. Quick is platform-agnostic, bridging AWS, M365, and Google ecosystems from a single interface. For a detailed feature-by-feature comparison, see Amazon Quick vs Microsoft Copilot.
What AI models power Amazon Quick?
AWS has not disclosed the underlying models. Based on AWS's existing infrastructure (Amazon Bedrock supports Claude, Llama, Mistral, and AWS's own Nova models), industry observers expect a multi-model orchestration approach, but this is inference, not confirmed.