What Is Amazon Quick? AWS's New AI Assistant Explained (2026 Guide)

Anastasiia Kuten Marketing & Partnerships Department Manager

June 3, 2026

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AWS just launched the most ambitious AI assistant for work it has ever built. It is called Amazon Quick, and unless you have been following AWS announcements closely, you probably do not know it exists yet.

Amazon Quick is AWS’s direct answer to ChatGPT Enterprise and Microsoft 365 Copilot. It connects to your business apps, learns your priorities, and takes action on your behalf. It launched with free and paid tiers, a desktop app in preview, and zero AWS account required to start using it. It is also the evolution of Amazon Q Business, which means existing Q Business customers have a clear path forward.

This guide covers everything you need to know: what Quick actually does, the four pricing tiers, how it compares to ChatGPT Enterprise and Microsoft 365 Copilot, and whether your team should adopt it now.

What Is Amazon Quick?

Amazon Quick is an agentic AI assistant for work. Unlike a generic chatbot, it connects to the tools your team already uses (Slack, Microsoft Teams, Outlook, CRMs, databases, documents) and grounds every answer in your real business data. Beyond answering questions, it can schedule meetings, build dashboards, create deliverables, and take multi-step actions on your behalf.

The shortest definition AWS uses: an AI assistant that turns questions into answers, answers into actions, and actions into outcomes.

Quick has four main capabilities:

• Quick Chat: the conversational interface where you ask questions and give tasks
• Quick Research: deep multi-source research across your data and the public web, producing comprehensive reports in minutes
• Quick Sight: built-in business intelligence with dashboards, charts, forecasting, and conversational data exploration
• Quick Automate: agentic workflow automation that runs multi-step tasks across your connected apps

You also get Shared Spaces (team collaboration), custom agents (purpose-built for specific roles or workflows), and a desktop app that stays connected to your local files, calendar, and communications without needing a browser.

Quick vs Amazon Q Business: What Changed?

This is the most confusing part of Quick for people who already use AWS. Quick is the evolution of Amazon Q Business, not a separate product.

Existing Q Business customers can continue using their current service or migrate to Quick to get access to the new agents for research, insights, and automation. Existing Q Business indexes can be leveraged inside Quick Suite, so you do not lose your investment in indexed data.

What Quick adds beyond Q Business:

• Free and Plus consumer tiers (no AWS account required)
• Desktop app (in preview)
• Shared Spaces for team collaboration
• Custom agents tailored to specific domains
• Quick Research, Quick Automate, Quick Flows as dedicated agentic capabilities
• Direct connections to Slack, Teams, Outlook, M365, Google Workspace
• A more polished consumer-grade UX

If you are evaluating AWS AI assistants in 2026, Quick is the answer. Q Business still works but is positioned as the legacy path forward.

Amazon Quick Pricing: All Four Tiers Explained

This is where most teams get tripped up. Quick has a four-tier pricing model with very different setups depending on which tier you choose.

The Free Tier

The Free tier is genuinely usable, not a marketing wall. You get basic AI assistant access, no infrastructure fee, and no AWS account required. Sign up with email or social credentials (Google, Apple, GitHub, Amazon) and start in 5 minutes.

Catch: limited agent hours, no desktop app, no Shared Spaces, no custom agents. Good for one person evaluating whether Quick fits their workflow.

The Plus Tier ($20/user/month)

This is where most small teams will land. Plus adds the desktop app, Shared Spaces, custom agents, browser extensions, and Microsoft 365 extensions. No AWS account required, no infrastructure fee.

For a team of 10 people, you are paying $200/month for what feels like a complete consumer AI product. Comparable to ChatGPT Plus or Claude Pro in pricing model, but with deeper enterprise app integrations.

The Professional Tier ($20/user/month + $250/account/month)

Professional adds the parts of Quick that make it enterprise-ready: Quick Sight business intelligence, Quick Automate workflows, AWS data source connectivity (S3, Redshift, RDS), corporate identity provider integration, and advanced governance.

The $250/month infrastructure fee is the gotcha. It is per account, not per user. So for a team of 50 people on Professional, you pay $1,000/user/month + $250 = $1,250/month total ($1,250 ÷ 50 = $25/user effective). For a team of 5, you pay $100 + $250 = $350/month total ($70/user effective). The infrastructure fee makes Professional disproportionately expensive for very small teams.

The Enterprise Tier ($40/user/month + $250/account/month)

Enterprise adds everything Professional has plus advanced governance, custom dashboards, certified assets, and tighter compliance controls. The infrastructure fee is the same $250/month.

For organizations that need SSO, audit logging, role-based access control, data residency guarantees, and full IAM integration, Enterprise is the tier you need.

Agent Hours and Overage Pricing

Professional and Enterprise tiers introduce agent hours, metered time for agentic and research workflows. Each tier includes a baseline allocation. If you exceed it, overage rates apply:

• Additional agent hours: $3/hour, metered to the second
• Additional Quick Research hours: $6/hour
• Index storage overage: $5/GB/month beyond pooled allocation

For teams running heavy agentic automations, these overages can add up quickly. Monitor agent hour consumption in the first month to forecast actual costs.

What Quick Actually Connects To

Quick’s value depends entirely on its integrations. As of launch, the supported connectors include:

For Professional and Enterprise, the AWS data source connectivity is the killer feature. Point Quick at your S3 buckets, Redshift warehouses, and RDS databases, and start getting answers grounded in your actual enterprise data. Your existing IAM permissions stay intact. No ETL pipelines, no migration, no new vendor for your security team to approve.

Real Use Cases: What Teams Are Actually Doing with Quick

Early adopter case studies show concrete patterns.

3M: sales teams use Quick to synthesize information across multiple platforms, surfacing insights about sales effectiveness, risks, and pricing in seconds instead of hours.

Mondelez International: deployed Quick across employees, with teams reporting improvements in knowledge surfacing and operational efficiency.

Jabil: using Quick’s unified capabilities to drive efficiencies across engineering, supply chain, and manufacturing solutions.

Manufacturing teams: Quick Automate reportedly reduced scrap by 10% at one customer through optimized accounts collection and RFQ submissions, saving approximately $400,000 annually.

The pattern that shows up repeatedly: teams use Quick for cross-system tasks that previously required jumping between five different tools. Building reports from CRM + data warehouse + Slack history. Generating dashboards from Redshift without involving the data team. Automating multi-step workflows that span Salesforce, email, and internal databases.

Amazon Quick vs ChatGPT Enterprise vs Microsoft 365 Copilot

This is the comparison everyone is making. Honest breakdown.

Cost Comparison for a 100-Person Team

The price gap becomes obvious at scale.

• Quick Plus: 100 × $20 = $2,000/month ($24,000/year)
• Quick Professional: 100 × $20 + $250 = $2,250/month ($27,000/year)
• Microsoft 365 Copilot: 100 × $30 = $3,000/month ($36,000/year) + M365 licenses
• ChatGPT Enterprise: 100 × $60+ = $6,000+/month ($72,000+/year)

For a 100-person team, choosing Quick Plus over Microsoft 365 Copilot saves $12,000/year before any other considerations. Choosing Quick over ChatGPT Enterprise saves $48,000/year or more.

That said, sticker price is not the only factor. Organizations already deep in M365 may find Copilot’s native integration worth the premium. ChatGPT Enterprise has model maturity that Quick will need time to match in some niches.

How to Get Started with Amazon Quick

Setup depends heavily on which tier you choose.

For Free or Plus

1. Go to the Amazon Quick sign-up page
2. Sign in with your email or social credentials (Google, Apple, GitHub, Amazon)
3. You are automatically enrolled in a 30-day free trial of Plus (full features, up to 10 team members)
4. After the trial, choose to stay on Plus or move to Free
5. Start connecting your apps and asking questions

You become the account admin automatically and can invite teammates, assign roles, and configure settings from a single screen.

For Professional or Enterprise

This is where setup gets real. You need:

1. An AWS account (the account provides identity management and billing)
2. Identity provider configured (AWS IAM Identity Center, Okta, Microsoft Entra ID)
3. AWS data sources you want Quick to access (S3 buckets, Redshift clusters, RDS databases)
4. IAM roles configured for Quick to assume into those data sources
5. A plan for cost management (the $250/month infrastructure fee, agent hour budgets, index storage)

The setup itself takes a few hours for a small team and can take weeks for a large enterprise with complex governance requirements. This is where Cloudvisor or another AWS partner can save you significant time.

Security, Compliance, and Data Privacy

Quick inherits AWS’s security and compliance posture, which is significant:

• HIPAA eligible for healthcare workloads (with a signed BAA)
• FedRAMP authorized for US government use
• SOC 2 audited for general enterprise compliance
• ISO 27001 certified
• GDPR compliant with regional data residency in EU regions

Critically: AWS does not use your data to train any model in any Quick plan, free or paid. This is an architectural guarantee, not a contractual promise. Your data stays in your AWS environment with the same IAM permissions, VPC isolation, KMS encryption, and CloudTrail audit logging you already have.

This matters because the equivalent statement is more nuanced for some competitors. ChatGPT Enterprise has data privacy guarantees but processes data on OpenAI servers. Microsoft 365 Copilot processes data in Microsoft’s cloud. Quick runs on AWS, which for AWS-native organizations means zero new vendor surface area to evaluate.

The Honest Limitations of Amazon Quick

This is the section the AWS marketing site will not write.

Connector ecosystem is younger than competitors. ChatGPT Enterprise and Copilot have had years to build deep integrations. Quick is newer and some niche apps your team uses may not have native connectors yet.

The $250/month infrastructure fee penalizes small Professional teams. For a team of 5 on Professional, the effective per-user cost is $70/month, significantly higher than the sticker price suggests.

Agent hour overage costs can surprise you. Heavy users running Quick Automate for hours of agentic work can blow past included allocations. Monitor closely in the first month.

Desktop app is still in preview. Functional but rough edges remain. Mac and Windows are both supported.

Less mature than M365 Copilot in pure Office workflows. If your team lives in Word, Excel, and PowerPoint and you have already paid for M365, Copilot’s native integration is more polished.

Custom agent building has a learning curve. The promise of “anyone can build agents” is real but requires investment in steering files, data source configuration, and testing.

The relationship to Q Business adds confusion. If you have Q Business deployed, you have to decide whether to keep using it, migrate, or run both. The migration path is documented but not trivial.

Should Your Team Adopt Quick?

Decision framework based on your situation.

Adopt Quick now if:

• You are already heavy on AWS and want an AI assistant in the same governance boundary
• You need to query your S3, Redshift, and RDS data conversationally
• Cost matters: Quick is significantly cheaper than ChatGPT Enterprise at scale
• You are an existing Amazon Q Business customer (Quick is the evolution path)
• You need agentic workflows that span multiple business apps
• Compliance certifications (HIPAA, FedRAMP) are required

Wait or evaluate alternatives if:

• Your organization is deeply on Microsoft 365 and Copilot’s native integration matters most
• You need a connector that Quick does not yet support
• You have very few users (under 5) and the $250 infrastructure fee makes Professional uneconomical
• You are not on AWS and have no plans to be

For most AWS-native organizations, the answer is “try the Plus tier for a month, then decide.” The 30-day free trial gives you full features with no commitment.

Frequently Asked Questions

Is Amazon Quick the same as Amazon Q?
No. Amazon Q is a family of AI products (Q Developer, Q Business, Q in QuickSight, etc.). Quick is the evolution of Q Business specifically, the version focused on enterprise AI assistants for work.

Do I need an AWS account to use Amazon Quick?
For Free and Plus tiers, no. Sign up with email or social credentials. For Professional and Enterprise tiers, yes, you need an AWS account for billing and identity management.

Is my data used to train models when I use Amazon Quick?
No. AWS does not use your data to train models on any Quick plan. This applies to all four tiers including Free.

Can Quick access my AWS databases and S3 buckets?
Yes, on Professional and Enterprise plans. Free and Plus do not include AWS data source connectivity. The Professional tier and above can query S3, Redshift, RDS, DynamoDB, and other AWS sources.

How does Quick compare to ChatGPT Enterprise?
Quick is cheaper at scale (~$20 to $25/user vs $60+/user), has deeper AWS data integration, and includes built-in BI through Quick Sight. ChatGPT Enterprise has model maturity advantages in some areas. Choose based on your existing platform commitments.

Is the desktop app available now?
Yes, in preview. It is functional and stays connected to your local files, calendar, and communications. Available on macOS and Windows.

What is the $250/month infrastructure fee for?
The fee covers AWS infrastructure for Professional and Enterprise plans: data source connectivity, indexing, governance, and platform operations. It is per AWS account, not per user.

Can existing Amazon Q Business customers migrate to Quick?
Yes. Existing Q Business customers can continue using their current service or leverage their existing Q index with Quick to access the new agents for research, insights, and automation.

Is there a free trial of paid tiers?
Yes. Every new account automatically gets a 30-day free trial of Plus, including the desktop app and the ability to invite up to 10 team members. No credit card required to start.

Is Quick HIPAA and FedRAMP compliant?
Yes. Amazon Quick is HIPAA eligible (with a signed BAA), FedRAMP authorized, SOC 2 audited, and ISO 27001 certified.

What models power Amazon Quick?
Quick runs on AWS infrastructure with access to multiple foundation models through Amazon Bedrock. The exact models used are abstracted from the end user, which is part of what makes the experience consistent.

Summary

Amazon Quick is AWS’s serious attempt to own the enterprise AI assistant category. It is priced aggressively, integrates deeply with both AWS-native data and third-party business apps, and inherits AWS’s compliance posture as a platform feature rather than an afterthought.

For most AWS-native organizations, Quick is the right starting point for an AI assistant strategy in 2026. The free tier costs nothing to try. The Plus tier at $20/user/month is competitive with consumer products like ChatGPT Plus while adding meaningful enterprise features. The Professional and Enterprise tiers offer real differentiation against Microsoft 365 Copilot and ChatGPT Enterprise, especially for teams that need to query AWS data sources directly.

The 30-day free trial is the right starting point. Use it to figure out whether Quick fits your team’s workflows before committing to paid tiers or comparing seriously against competitors.