Amazon Quick – AI Assistant for Enterprise Productivity
Overview
Amazon Quick is AWS’s AI-powered enterprise productivity assistant, designed to work across all your business applications, tools, and data in one unified experience. Originally launched as Amazon Q Business (GA April 2024), it evolved into Amazon Quick Suite (October 2025) and received major autonomous agent capabilities at AWS Summit NYC in June 2026.
Unlike traditional AI assistants locked into a single vendor ecosystem, Amazon Quick breaks free from “walled gardens” — it connects to Slack, Microsoft Teams, Outlook, Gmail, Salesforce, ServiceNow, Jira, and dozens more applications seamlessly. It lives on your desktop, learns your work patterns, and gets smarter and more proactive the longer you use it.
Key Principles
- Built for how you actually work — connects to every tool you use, not just one vendor’s ecosystem
- Enterprise security your company will approve — no trade-off between capability and governance
- Always learning, always improving — builds a personal knowledge graph from your interactions
- Proactive, not reactive — runs continuously in the background, surfacing what needs attention
- No coding required — accessible to every knowledge worker, not just developers
Key Features
Activity Feed (Redesigned June 2026)
The redesigned activity feed consolidates email, messaging, calendar, and tasks into a single prioritized view:
- Unified inbox — see updates from email, Slack, Teams, calendar, and tasks in one place
- Learns your patterns — knows which messages you always answer fast, which threads you skip, and what topics drive your week
- Prioritization via feedback — use thumbs up/down to train Quick on what matters to you
- Direct actions — reply to emails, respond to Slack messages, and approve requests without switching apps
- Conversational interface — interact with your activity feed using natural language
Personal Knowledge Graph
Quick builds a persistent knowledge graph that understands:
- Your preferences and communication style
- Team contacts and organizational relationships
- Key projects, brand guidelines, and business context
- Work patterns — what you do, when, and with whom
This “long-term memory” means Quick remembers context across sessions. When drafting a customer win note, it pulls relevant stakeholders, references earlier conversations, and suggests actions based on historical patterns.
Proactive Recommendations
Unlike reactive AI tools that wait for prompts, Quick runs continuously in the background:
- Meeting preparation — surfaces relevant Slack threads, documents, and briefing notes before your meetings
- Conflict detection — catches double-bookings and urgent deadlines before they become problems
- Follow-up nudges — reminds you of stalled conversations and pending actions
- Context-aware suggestions — recommends next steps based on your current workflow
Content Creation
Generate deliverables directly from the chat interface:
- Polished documents and presentations (PowerPoint)
- Live dashboards and intelligent apps
- Infographics and images
- Custom web applications (no coding required)
Autonomous Agents (June 2026)
Announced at AWS Summit NYC 2026, autonomous agents are the marquee new capability that transforms Quick from an interactive assistant into a continuous automation platform.
How Autonomous Agents Work
- Natural language creation — describe what you want the agent to do in plain English; no coding required
- Granular autonomy levels — set agents from step-by-step approval to broad goal-based execution
- Continuous operation — agents work in the background 24/7, not just when you’re actively using Quick
- Specific expertise — configure each agent with domain knowledge, tone, and tool access
Example Agents
| Agent Type | What It Does |
|---|---|
| Finance Agent | Processes purchase orders as they come in, flags anomalies, routes for approval |
| Sales Agent | Monitors CRM, emails, and Slack; proactively drafts follow-ups, flags risks, recommends next steps |
| Deal Follow-up Agent | Follows up on stalled business deals automatically |
| Compliance Agent | Summarizes regulatory changes and flags relevant items to the legal team |
| Operations Agent | Monitors dashboards and alerts teams when KPIs deviate from targets |
Key Benefits
- Eliminates manual repetitive work and notification overload
- Accessible to business users — no developer involvement needed
- Full audit trail and explainability for every action taken
- Respects existing security permissions and data access controls
Integrations
Amazon Quick connects to 56+ applications and data sources, with 16 new built-in integrations announced at AWS Summit NYC 2026.
New Integrations (June 2026)
- Adobe — Creative Cloud and Document Cloud workflows
- Moody’s — Financial risk data and analytics
- Snowflake — Data warehouse querying via natural language
- Plus 13 additional enterprise integrations
Existing 40+ Connectors
- Communication — Slack, Microsoft Teams, Zoom, Google Workspace
- Email & Calendar — Microsoft Outlook, Gmail
- Productivity — Microsoft 365 (Word, PowerPoint, Excel), Airtable, Dropbox
- CRM & Sales — Salesforce, HubSpot
- Project Management — Jira, Asana, ServiceNow
- E-Commerce — Shopify
- Finance — QuickBooks
- Data Sources — Amazon S3, Amazon Redshift, PostgreSQL, MySQL, Oracle, AWS Glue, Databricks Unity Catalog, Collibra
- Developer Tools — Kiro CLI, Claude Code, browser-based workflows
- Document Stores — SharePoint, Confluence, Google Drive
Multi-Dataset Analytics
The new multi-dataset analytics feature (June 2026) enables:
- Query across multiple data sources using natural language — no SQL required
- Inherits semantic intelligence from existing data catalogs (AWS Glue, Databricks Unity Catalog, Collibra)
- No pre-joining datasets or technical data preparation needed
- Security enforced through identity propagation respecting existing permissions
Microsoft 365 Extensions
Quick embeds directly into Microsoft Office applications:
- Available in Outlook, Word, PowerPoint, and Excel (preview)
- Proactively surfaces insights, drafts content, and takes action within each app
- No context switching required
Architecture
Knowledge Graph Technology (AWS Context)
Amazon Quick is built on the same knowledge graph technology that powers AWS Context, a new service announced at AWS Summit NYC 2026:
- Automatic relationship inference — discovers connections between data assets, business rules, and domain knowledge
- Organizational data connectivity — connects to all structured, unstructured, and domain data across the enterprise
- Agentic search layer — enables agents to navigate organizational information and find the right answers
- Continuous learning — learns which sources produce correct results, which paths get used, and which business rules matter
- Metadata stored in Iceberg format on S3 Tables — build against it with existing tools
Desktop Architecture
- Runs as a native desktop application (Windows and Mac)
- Connects directly to local files on your machine
- Stays connected to calendar, email, and apps in the background
- Always-on — works whether you’re actively prompting or not
- Can automate browser-based workflows and connect to developer tools
Shared Spaces
- Team workspaces where dashboards, agents, automations, and knowledge compound across people
- Share Quick applications as public websites for collaboration beyond the organization
- Certified and published assets managed by Enterprise admins
Security
Amazon Quick addresses the fundamental security trade-off that plagues enterprise AI adoption:
The “Walled Garden” vs “Wild Garden” Problem
- Walled Gardens (Microsoft Copilot, Google Gemini) — AI locked into one vendor ecosystem; can’t work across all your systems
- Wild Gardens (standalone ChatGPT, open tools) — broad access but little concern for security and data governance
- Amazon Quick — works across ALL your tools while maintaining enterprise-grade security
Enterprise Security Features
- Data privacy — Quick never uses your data to train someone else’s model
- Access control — respects existing ACL permissions from connected data sources
- Identity propagation — user-level security enforced across all queries and actions
- RBAC and SSO — enterprise identity management integration
- Data sovereignty controls — available on Professional and Enterprise plans
- Admin controls — centralized management, user provisioning, and audit capabilities
- SAML 2.0 integration — works with Okta, Azure AD, Ping Identity
- Built on AWS — inherits AWS security, compliance, and governance standards
- HIPAA eligible — suitable for healthcare workloads
Governance for Agents
- Granular autonomy levels — define exactly what agents can and cannot do
- Full audit trail for all autonomous actions
- Administrators can verify, approve, and remove published automations
- Integration with Amazon Bedrock Guardrails for content safety
Pricing
Amazon Quick offers four tiers across two sign-up methods:
Sign Up with Email (No AWS Account Required)
| Feature | Free ($0/user/month) | Plus ($20/user/month) |
|---|---|---|
| AI chat assistant | ✓ | ✓ |
| Desktop app | — | ✓ |
| Custom chat agents | — | ✓ |
| Shared Spaces for teams | — | ✓ |
| Quick Flows (automation) | ✓ | ✓ |
| App integrations (Slack, M365, Google) | ✓ | ✓ |
| Browser & M365 extensions | — | ✓ |
Sign Up with AWS Account (Enterprise)
| Feature | Professional ($20/user/month) | Enterprise ($40/user/month) |
|---|---|---|
| All Plus features | ✓ | ✓ |
| Quick Sight analytics | View only | Create & certify |
| Multi-step workflow automation (Quick Automate) | — | ✓ |
| RBAC, SSO, admin controls | ✓ | ✓ |
| Data sovereignty controls | ✓ | ✓ |
| Index storage per user | 25 GB | 50 GB |
| Agent hours included/user/month | 4 hours | 8 hours |
| Infrastructure fee | $250/account/month | $250/account/month |
| 24/7 AWS Support | ✓ | ✓ |
Additional costs: Agent hours beyond entitlement are $3/hour (metered to the second). Index storage overages are $5/GB/month. A 30-day free trial is available for up to 25 users on the Enterprise plan.
Evolution: Amazon Q Business → Amazon Quick
| Timeline | Product | Key Milestone |
|---|---|---|
| Nov 2023 | Amazon Q Business (Preview) | Announced at re:Invent 2023 as enterprise AI assistant |
| Apr 2024 | Amazon Q Business (GA) | Generally available with 40+ connectors, plugins, Q Apps |
| Oct 2025 | Amazon Quick (Suite) | Rebrand and expansion; merges QuickSight BI capabilities; launched as “AI teammate for work” |
| Apr 2026 | Amazon Quick Desktop | Desktop app launch; M365 extensions; always-on proactive mode; content creation |
| Jun 2026 | Amazon Quick (Autonomous Agents) | Autonomous agents, multi-dataset analytics, redesigned activity feed, 16 new integrations |
Migration path: Existing Q Business customers can continue using their current service or leverage their existing Q index with Quick Suite to access new agents for research, insights, and automation.
Competitive Positioning
Amazon Quick vs Microsoft Copilot vs Google Gemini vs ChatGPT Enterprise
| Capability | Amazon Quick | Microsoft 365 Copilot | Google Gemini for Workspace | ChatGPT Enterprise |
|---|---|---|---|---|
| Pricing | $0–$40/user/month | $30/user/month (add-on) | $20–$30/user/month (add-on) | ~$60/user/month (custom) |
| Cross-platform integrations | 56+ (vendor-agnostic) | Microsoft ecosystem + connectors | Google Workspace ecosystem | Limited (API-based) |
| Autonomous agents | ✓ (no-code, continuous) | ✓ (Copilot Studio) | Limited | — (Codex for code only) |
| Always-on desktop app | ✓ (proactive) | Embedded in M365 apps | Embedded in Workspace | Desktop app (reactive) |
| Personal knowledge graph | ✓ (learns over time) | Work IQ (memory) | Limited personalization | Memory feature |
| BI & analytics built-in | ✓ (Quick Sight) | Excel/Power BI integration | Looker integration | — |
| Requires base subscription | No (standalone) | Yes (M365 license required) | Yes (Workspace license) | No (standalone) |
| Data stays in your environment | ✓ (AWS infrastructure) | ✓ (Microsoft cloud) | ✓ (Google cloud) | ✓ (OpenAI servers) |
| Multi-dataset NL analytics | ✓ (cross-source) | Limited to M365 data | BigQuery integration | — |
Key Differentiators for Amazon Quick
- Vendor-agnostic — doesn’t require you to be locked into Microsoft or Google ecosystems
- Free tier available — no base subscription prerequisite (unlike M365 Copilot which requires M365 license)
- Unified BI + AI — Quick Sight analytics natively integrated (not a separate tool)
- Proactive by design — always-on desktop presence vs. app-embedded reactive AI
- AWS ecosystem advantage — native integration with Bedrock, S3, Redshift, Glue for data-heavy enterprises
Use Cases
Prioritized Inbox
A product manager receives 200+ emails and 50+ Slack messages daily. Quick’s activity feed consolidates everything into a single prioritized view, learns which messages require immediate attention (from the CEO, from direct reports, from key customers), and surfaces them first. Low-priority notifications are batched for end-of-day review.
Proactive Follow-ups
A sales rep closes a deal and needs to notify multiple stakeholders. Quick’s autonomous agent monitors the CRM, detects the deal closure, drafts personalized follow-up emails to the manager, leadership, marketing, and customer success teams — pulling relevant details from prior conversations and suggesting next steps based on historical playbooks.
Order Processing
A finance team deploys a Quick autonomous agent that continuously monitors incoming purchase orders. The agent validates order details against inventory systems, flags anomalies (unusual quantities, pricing discrepancies), routes standard orders for automatic approval, and escalates exceptions to the appropriate reviewer — all without human initiation.
CRM Monitoring
A sales leader creates an agent that monitors all team interactions across email, Slack, and Salesforce. The agent identifies deals that haven’t had customer contact in 7+ days, drafts suggested follow-up messages, flags competitive mentions, and generates a weekly pipeline health report — delivered proactively every Monday morning.
Meeting Preparation
Before a customer meeting, Quick automatically surfaces: the customer’s recent support tickets, last quarter’s usage data from the BI dashboard, relevant product roadmap items discussed in internal Slack channels, and the sales engineer’s technical notes — all compiled into a pre-meeting briefing without being asked.
Customer Adoption
- 3M — saves sales reps 5+ hours per week gathering information for customer meetings
- Amazon Books — reduced time leaders spend developing coordination documents by 80%; engineering cut factory test times by 67%
- New York Life — replaced multi-report manual processes with conversational agents for reconciliation, premium processing, and compliance reporting
- Mondelēz International — employees complete tasks in minutes instead of hours; AI-powered analysis across complex data sets
- Southwest Airlines — adopted Quick as part of their AWS cloud modernization, alongside 2,700 developers using Kiro
- Other adopters: BMW, GoDaddy, AstraZeneca, NFL, Kitsa
Practice Questions
- A company uses Microsoft Teams for messaging, Salesforce for CRM, Jira for project management, and Snowflake for analytics. They want an AI assistant that works across ALL these tools without requiring them to migrate to a single vendor ecosystem. Which solution best meets this requirement?
- Microsoft 365 Copilot
- Google Gemini for Workspace
- Amazon Quick
- ChatGPT Enterprise
Show Answer
Answer: C. – Amazon Quick is designed to be vendor-agnostic with 56+ integrations spanning Microsoft, Google, Salesforce, Snowflake, and others. Microsoft Copilot and Google Gemini are primarily optimized for their own ecosystems. ChatGPT Enterprise has limited native enterprise integrations.
- A sales operations team wants to create an AI agent that continuously monitors their CRM for deals inactive for more than 7 days, automatically drafts follow-up suggestions, and flags risks — without any developer involvement. Which Amazon Quick capability should they use?
- Quick Flows
- Quick Sight scenarios
- Autonomous Agents
- Quick Automate
Show Answer
Answer: C. – Autonomous Agents (launched June 2026) allow users to create agents in natural language that work continuously in the background with specific expertise and tool access — no coding required. Quick Flows handle simpler daily automation. Quick Automate handles multi-step workflows but requires the Enterprise tier. Quick Sight is for BI analytics.
- An enterprise security team evaluates AI assistants and requires: (1) user data is never used to train external models, (2) existing data access permissions are respected, and (3) the solution works across tools from multiple vendors. Which statements about Amazon Quick’s security model are correct? (Select TWO)
- Quick uses customer data to improve its foundation models for other customers
- Quick enforces identity propagation that respects existing ACL permissions from connected data sources
- Quick requires all connected data sources to be migrated to AWS S3 first
- Quick never uses your data to train someone else’s model
- Quick only supports SSO through AWS IAM Identity Center
Show Answer
Answer: B, D – Amazon Quick enforces identity propagation and ACL permissions (B) and explicitly guarantees that customer data is never used to train other models (D). It connects to data sources in place without migration (eliminates C). It supports SAML 2.0 providers including Okta and Azure AD (eliminates E).
- A company is currently using Amazon Q Business with 40+ connectors configured. They want to take advantage of the new autonomous agents and activity feed features. What is the recommended migration path?
- Rebuild the entire configuration from scratch on Amazon Quick
- Leverage their existing Q index with Quick Suite to access new capabilities
- Wait for automatic migration scheduled for Q4 2026
- Deploy a separate Amazon Quick instance alongside Q Business
Show Answer
Answer: B. – AWS explicitly states that existing Q Business customers can continue using their current service or leverage their existing Q index with Quick Suite to access new agents for research, insights, and automation — no rebuild required.
- An organization needs Amazon Quick for 500 users with full governance, dashboard creation, multi-step workflow automation, and certified assets. They estimate each user will consume approximately 10 agent hours per month. What is the minimum monthly cost? (Select the correct calculation)
- 500 × $20 = $10,000/month
- 500 × $40 + $250 = $20,250/month
- 500 × $40 + $250 + (500 × 2 × $3) = $23,250/month
- 500 × $40 + $250 + (500 × 6 × $3) = $29,250/month
Show Answer
Answer: C. – Enterprise tier is required for dashboard creation, multi-step automation, and certified assets ($40/user/month × 500 = $20,000). Infrastructure fee is $250/account/month. Enterprise includes 8 agent hours/user/month, so overage is 2 hours/user × 500 users × $3/hour = $3,000. Total: $20,000 + $250 + $3,000 = $23,250/month.
Frequently Asked Questions
What is Amazon Quick?
Amazon Quick is AWS’s enterprise AI assistant that consolidates email, messaging, calendar, and tasks into a single AI-prioritized view. It creates autonomous agents for background work (finance, sales, HR) and connects to 56+ enterprise applications with full security controls.
How does Amazon Quick differ from Q Business?
Amazon Quick is the evolution of Q Business. While Q Business focuses on knowledge Q&A over company data, Quick adds an AI-powered activity feed, autonomous background agents, proactive recommendations, and a desktop application — becoming a full work productivity layer.
Can I create custom agents in Amazon Quick?
Yes. Quick’s autonomous agents require no coding — you define the agent’s expertise, tone, and tool access. Examples include a finance agent processing invoices, a sales agent monitoring CRM interactions, or an HR agent handling onboarding workflows.
References
- Amazon Quick — Official Product Page
- Amazon Quick Pricing
- AWS What’s New — Amazon Quick Autonomous Agents (June 2026)
- AWS Summit NYC 2026 — AI Agent Innovations
- Amazon Quick Desktop AI Assistant Launch
- Amazon Q Business FAQs — Evolution to Quick Suite
- Amazon Quick: Enterprise Data to AI-Powered Decisions
