Enterprise knowledge work
Search company repositories, files, applications, databases, and public sources from a governed work assistant.
Independent tool overview
Amazon Quick at a glance
Amazon Quick, formerly Amazon Quick Suite, is AWS's AI workspace for searching company knowledge, conducting research, analyzing data, creating deliverables, and automating actions across business apps.
Visit the official Amazon Quick site ↗
- Previous name
- Amazon Quick Suite
- Provider
- Amazon Web Services
- Product type
- Connected AI workspace, research assistant, analytics, and automation platform
- Self-serve access
- Free and Plus accounts can be created without an AWS account
- Enterprise access
- Professional and Enterprise require an AWS account
- Starting price
- Free; Plus and Professional $20/user/month; Enterprise $40/user/month
- Enterprise platform fee
- $250 per AWS-managed account per month
- Last reviewed
- August 30, 2026
Overview
What Amazon Quick is
Amazon Quick combines an AI assistant with enterprise search, research, business intelligence, workflow automation, app creation, and connected actions. It can index company sources, organize shared context in Spaces, query structured and unstructured data, generate documents and dashboards, and use Flows or Automate to move from an answer to work performed across other systems.
AWS shortened the product name from Amazon Quick Suite to Amazon Quick in 2026 and added self-serve Free and Plus plans alongside Professional and Enterprise. The product now serves two different audiences: individuals and small teams seeking a connected work assistant, and AWS-managed organizations that need Quick Sight analytics, advanced automation, corporate identity, governance, and data controls. Buyers should compare the whole cost because enterprise plans add an account infrastructure fee, metered agent hours, storage overages, and optional BI charges.
Use cases
Who Amazon Quick is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Deep business research
Create cited reports that combine internal context with public information and extended analysis.
Natural-language analytics
Ask questions across datasets, build editable dashboards, and turn analysis into narrative or presentation-ready deliverables.
Recurring team workflows
Use Quick Flows or autonomous agents for repeated reporting, follow-up, preparation, monitoring, and coordination tasks.
Multi-system operations
Use Quick Automate for longer processes that cross applications, browser interfaces, departments, and approval steps.
AWS-governed organizations
Centralize access, identity, data regions, administration, audit, and billing around an existing AWS environment.
Capabilities
Core Amazon Quick features
Quick chat
Ask questions, draft content, create agents, and take supported actions from a conversational workspace.
Quick Index
Connect and index company sources across applications, repositories, AWS services, and supported databases.
Spaces
Organize files, dashboards, knowledge, and agents around a project or team, with shared Spaces on eligible plans.
Custom agents
Create task- or style-specific assistants grounded in selected guidance, sources, tools, and organizational context.
Quick Research
Run extended research over company data, public information, and third-party sources to produce cited analysis and reports.
Quick Flows
Build repeatable workflows in natural language for recurring work such as reports, meeting prep, and follow-up.
Autonomous agents
Set agents to work continuously with autonomy ranging from step-by-step approval to broader goal-based execution.
Quick Automate
Coordinate complex, multi-step processes across systems with testing, deployment, computer use, and operational controls.
Quick Sight
Create, query, publish, and govern dashboards and analytics, including generated analyses from natural-language requests.
Multi-dataset analytics
Query across multiple structured sources without pre-joining every dataset, while inheriting available catalog semantics and permissions.
Documents and visuals
Generate and refine reports, documents, decks, spreadsheets, images, charts, and infographics from chat; some visual features remain preview.
Connected apps and actions
Use built-in integrations, OpenAPI, MCP, and third-party agents to read from and act in business applications.
Desktop and extensions
Work through the web, a preview desktop app, browser extensions, and Microsoft 365 surfaces on eligible plans.
Activity feed
Review prioritized updates, provide feedback, reply to messages, and approve supported requests without opening every source app.
Process
How the Amazon Quick workflow works
Step 1
Choose one bounded use case
Start with a measurable task such as weekly account review, research briefing, campaign analysis, or purchase-order triage.
Step 2
Map data and action boundaries
List the exact sources Quick may read, the records or messages it may change, the data region, retention needs, and prohibited information.
Step 3
Connect least-privilege sources
Use the narrowest identity, scopes, repositories, datasets, and actions needed for the pilot rather than connecting the whole organization.
Step 4
Build an evaluation set
Test common requests, ambiguous inputs, permission boundaries, stale data, conflicting sources, adversarial content, and known correct outcomes.
Step 5
Keep approvals on
Require human confirmation for external messages, record changes, payments, deletions, submissions, and other consequential actions.
Step 6
Measure end-to-end cost
Track subscription seats, infrastructure fee, agent and research hours, index storage, BI capacity, connector costs, and human review.
Step 7
Expand with governance
Only broaden autonomy or add departments after access reviews, audit logging, owner assignment, exception handling, and rollback procedures are working.
Cost
Amazon Quick pricing and free plan
Amazon Quick has Free, Plus, Professional, and Enterprise plans. Self-serve plans avoid an AWS account and infrastructure fee. AWS-managed Professional and Enterprise plans add a $250 monthly account fee, pooled index storage, included agent hours, and consumption charges for overages and optional BI features.
Free
$0/user/month
Single-user starting plan for core chat, research, Spaces, Flows, apps, integrations, and deliverable creation.
- No AWS account required
- New accounts receive a 30-day Plus trial
- No infrastructure fee
- Desktop app, shared team Spaces, custom shared agents, and some extensions require Plus
- Usage limits apply
Plus
$20/user/month billed annually
Self-serve plan for individuals and teams that adds desktop access, expanded usage, shared Spaces, custom agents, and extensions.
- No AWS account required
- No infrastructure fee
- Includes a 30-day trial for new self-serve accounts
- Collaborator billing begins when an invitation is accepted
- Annual commitments cannot be canceled mid-term according to current billing documentation
Professional
$20/user/month + $250/account/month
AWS-managed organizational plan with governance, identity, centralized billing, business intelligence, and enterprise data connectivity.
- Requires an AWS account
- Includes 25 GB pooled index storage per user
- Includes 2 agentic hours plus 2 research hours per user per month
- Additional agent usage and research usage are metered
- Index overage is listed at $5/GB/month
- Thirty-day AWS trial is available for eligible new customers
Enterprise
$40/user/month + $250/account/month
Highest-governance plan with more included storage and agent usage plus certification and advanced administrative controls.
- Requires an AWS account
- Includes 50 GB pooled index storage per user
- Includes 4 agentic hours plus 4 research hours per user per month
- Quick Flows and Automate overages are listed from $3 per agent-hour
- Quick Research overage can be priced separately at $6 per research agent-hour
- Index overage is listed at $5/GB/month
- The 30-day enterprise trial can convert to paid service if not changed before it ends
Pricing checked . Check current pricing at the source ↗
Assessment
Amazon Quick strengths and limitations
Where it stands out
- Combines search, research, analytics, content creation, agents, and automation in one workspace
- Can ground work in internal sources while also using public information
- Large and expanding connector catalog with OpenAPI and MCP extension paths
- Free plan makes the core assistant accessible without an AWS account
- Professional and Enterprise add AWS identity, governance, data-region, and administration controls
- Quick Sight brings mature business-intelligence capabilities into the same product
- Flows and Automate support both lightweight repetition and complex cross-system processes
- Desktop and Microsoft 365 extensions put Quick closer to daily work
- AWS states customer data is not used to train models on any Quick plan
- Granular autonomy levels can preserve review while teams evaluate agents
What to consider
- The broad product scope creates setup, governance, training, and change-management overhead
- Professional and Enterprise add a $250 monthly infrastructure fee before user, storage, or overage charges
- Agent-hour pricing spans several features and can be difficult to forecast for research, automations, desktop work, and generated artifacts
- Quick Research and other agent-hour overages may use different rates
- Index storage beyond pooled allowances costs extra, and BI features can add SPICE, reporting, alert, or session charges
- Important capabilities differ across Free, Plus, Professional, and Enterprise, so a self-serve pilot may not represent the governed enterprise setup
- The desktop app and some visual-generation capabilities remain preview
- Autonomous agents can send incorrect messages, modify the wrong record, or continue a flawed workflow without sufficient approvals
- Connected tools, MCP servers, and third-party agents expand the permission and supply-chain attack surface
- Identity propagation can preserve source permissions only when connectors and underlying systems are configured correctly
- AI answers, research reports, data analysis, and generated dashboards can contain unsupported claims or analytical errors
- Cross-dataset analysis still depends on clean schemas, valid business definitions, correct joins, and reliable source data
- Long-running workflows require owners, exception queues, idempotency, monitoring, and rollback—not just a prompt
- Public websites or shared apps can expose information if data scopes and publication settings are misconfigured
- Enterprise value is strongest in an AWS-centered architecture, increasing platform dependence
- Pricing, naming, plan entitlements, previews, and connectors have changed quickly during the product's first year
Compare
Amazon Quick alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Business Operations
Microsoft Copilot
Choose Microsoft Copilot when Microsoft 365, Teams, SharePoint, and the broader Microsoft security stack are the center of work.
Explore Microsoft Copilot →Business Operations
Gemini Enterprise
Choose Gemini Enterprise when Google Workspace, Google Cloud search, and Google's enterprise agent platform are a better fit.
Explore Gemini Enterprise →Business Operations
ChatGPT
Choose ChatGPT for a simpler general-purpose assistant and research experience with less AWS-specific infrastructure.
Explore ChatGPT →Questions
Amazon Quick FAQs
What is Amazon Quick?
Amazon Quick is AWS's connected AI workspace for chat, company knowledge, deep research, analytics, deliverable creation, custom agents, and workflow automation across business systems.
Is Amazon Quick the same as Amazon Quick Suite?
Yes. Amazon shortened the Quick Suite name to Amazon Quick in 2026 while expanding self-serve plans, desktop access, agents, analytics, and integrations.
Is Amazon Quick free?
Yes. The Free plan is $0 per user per month and does not require an AWS account. New self-serve accounts also receive a 30-day Plus trial.
How much is Amazon Quick Plus?
AWS lists Plus at $20 per user per month billed annually. It adds desktop access, shared team Spaces, custom chat agents, and eligible browser and Microsoft 365 extensions.
How much do Professional and Enterprise cost?
Professional is $20 per user per month and Enterprise is $40 per user per month. Both also carry a $250 per-account monthly infrastructure fee, plus potential agent-hour, storage, and BI charges.
Does Amazon use Quick data to train AI models?
AWS states that customer data and queries are not used to train models on any Amazon Quick plan. Organizations still need to configure connectors, permissions, retention, sharing, and regional controls correctly.
What is the difference between Quick Flows and Quick Automate?
Flows targets repeatable everyday workflows created from prompts. Automate targets more complex, longer, cross-system processes that need testing, deployment, computer use, monitoring, and enterprise controls.
Can Amazon Quick create dashboards and Office files?
Yes. Quick Sight supports analytics and dashboards, while chat can create Word, PDF, PowerPoint, and Excel deliverables. Some visual-generation features remain preview and plan eligibility varies.
What should a company test before deploying Quick?
Test source permissions, answer accuracy, data lineage, connector actions, autonomy boundaries, approval and rollback paths, regional processing, audit logs, agent-hour consumption, index growth, and the full monthly cost.
Bottom line
Our Amazon Quick verdict
Amazon Quick has evolved from an enterprise launch bundle into a broad work platform with a credible free entry point. Its differentiator is the connection between grounded answers, deep research, Quick Sight analytics, and actions across business tools. For individuals, Free or Plus is easy to test. For organizations, the platform can be powerful but is not inexpensive or turnkey: the infrastructure fee, agent-hour model, connector permissions, governance, and workflow operations must all be part of the buying decision.
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