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Amazon Q Business

Amazon Q Business is AWS's enterprise AI assistant that answers questions from your company's data sources using generative AI with built-in permission-aware retrieval and 40+ enterprise connectors.

Starting at$3/user/month
Visit Amazon Q Business →
💡

In Plain English

Amazon's enterprise AI assistant designed for business workflows with deep AWS integration, permission-aware document search across 40+ connectors, and generative AI-powered Q&A grounded in your organization's proprietary data.

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQSecurityAlternatives

Overview

Amazon Q Business is AWS's enterprise-grade generative AI assistant designed to help knowledge workers find answers, generate content, and take actions across their organization's data.

What Amazon Q Business Does

Amazon Q Business uses retrieval-augmented generation (RAG) to connect to over 40 enterprise data sources — including SharePoint, Salesforce, Confluence, Jira, ServiceNow, Amazon S3, Slack, and more — and delivers cited, permission-aware answers in natural language. Unlike generic chatbots, Q Business enforces each connected system's existing access controls (ACLs), ensuring that users only see information they are already authorized to access.

Key Statistics and Capabilities

  • 40+ prebuilt connectors for enterprise systems, with custom connector SDK for proprietary sources
  • Permission-aware retrieval that propagates user identity via IAM Identity Center, Okta, or Entra ID to enforce document-level ACLs
  • Amazon Q Apps enables non-developers to create reusable AI-powered mini-applications without writing code
  • Agentic plugins allow write-back actions into Jira, ServiceNow, Salesforce, and other systems directly from the chat interface
  • Amazon Q in QuickSight integration lets analysts query BI dashboards using natural language
  • Amazon Q in Connect provides real-time agent assist in contact center workflows

Who Should Use Amazon Q Business

Amazon Q Business is best suited for mid-to-large enterprises (50+ employees) that are already invested in the AWS ecosystem and need an AI assistant grounded in their proprietary data. Organizations in regulated industries — healthcare, financial services, government — benefit from its HIPAA, SOC 1/2/3, ISO 27001, FedRAMP Moderate and High (GovCloud) compliance certifications. Teams needing strict document-level access controls (HR, legal, deal teams) will find the permission-aware retrieval particularly valuable.

Pricing Overview

Amazon Q Business offers two tiers: Lite at $3/user/month for basic chat and limited queries, and Pro at $20/user/month for full chat, document summarization, Q Apps authoring, action plugins, and higher usage limits. A free trial is available to evaluate the platform before committing.

Limitations to Consider

Q Business is most effective in AWS-native environments. Organizations using competing clouds or lacking AWS expertise may face steeper setup curves. Answer quality depends on how well source data is structured and indexed, and the agentic plugin ecosystem is still growing compared to competitors like Glean or Microsoft Copilot.

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Editorial Review

Amazon Q Business is a solid enterprise AI assistant for AWS-native organizations that need permission-aware, cited answers across multiple data sources. Users praise the seamless IAM integration, strong compliance posture, and growing connector library. Common criticisms include the learning curve for AWS administration, variable answer quality depending on source data structure, and per-user pricing that scales steeply for large teams. Overall, it is a strong choice for regulated enterprises already invested in AWS, but less compelling for organizations on competing cloud platforms.

Key Features

  • •Natural language conversations
  • •Document search and indexing
  • •Source citations and references
  • •Permission-aware access control
  • •Enterprise connector integrations
  • •Action plugins and workflows

Pricing Plans

Plan 1

$3/user/month

    Plan 2

    $20/user/month

      Plan 3

      $0

        Plan 4

        $19/user/month

          See Full Pricing →Free vs Paid →Is it worth it? →

          Ready to get started with Amazon Q Business?

          View Pricing Options →

          Getting Started with Amazon Q Business

          1. 1Set up an AWS account with IAM Identity Center configured for your organization's user directory (Okta, Entra ID, or AWS-managed) to enable single sign-on and permission-aware retrieval.
          2. 2Choose and configure data source connectors for your enterprise tools (SharePoint, Salesforce, Confluence, S3, etc.), specifying sync schedules and field mappings for each source.
          3. 3Create an Amazon Q Business application in the AWS console and assign user subscriptions (Lite or Pro tier) based on each team's feature requirements.
          4. 4Configure index units based on document volume and sync your initial data sources, then review the indexing dashboard to verify connector health and document counts.
          5. 5Test with a pilot group to tune relevance settings, configure admin guardrails (topic blocking, response controls), and train users on effective prompting techniques before rolling out organization-wide.
          Ready to start? Try Amazon Q Business →

          Best Use Cases

          🎯

          Large enterprises already standardized on AWS that want a generative AI assistant grounded in their proprietary data with native IAM integration and compliance certifications.

          ⚡

          Regulated industries (healthcare, financial services, government) that require HIPAA, SOC, ISO, and FedRAMP compliance for AI-powered knowledge retrieval and document search.

          🔧

          Organizations with strict document-level access controls where HR, legal, or deal-team content must remain visible only to authorized personnel, even when queried through an AI assistant.

          🚀

          Internal help desks and employee support use cases, where Q Business answers HR, IT, and policy questions automatically, reducing ticket volume and improving first-response times.

          💡

          Business intelligence workflows that pair Q Business with Amazon Q in QuickSight so analysts can query dashboards and generate visualizations using natural language instead of writing SQL.

          🔄

          Contact center enablement through Amazon Q in Connect, where agents get real-time suggested responses, call summaries, and knowledge-base lookups during live customer interactions.

          Integration Ecosystem

          6 integrations

          Amazon Q Business works with these platforms and services:

          📇 CRM
          Salesforce
          🗄️ Databases
          SnowflakeAmazon RDS
          💾 Storage
          Amazon S3BoxDropbox
          View full Integration Matrix →

          Limitations & What It Can't Do

          We believe in transparent reviews. Here's what Amazon Q Business doesn't handle well:

          • ⚠Amazon Q Business is optimized for organizations that already run on AWS and use supported enterprise tools. Teams outside the AWS ecosystem face limited connector availability and higher administrative complexity. Answer quality is directly tied to the structure and maintenance of source documents — poorly organized data leads to less relevant results. The agentic plugin ecosystem is still maturing, with fewer prebuilt automation integrations than competitors like Glean or Microsoft Copilot. Per-user pricing can become expensive at scale, particularly for organizations that need Pro-tier features across a large workforce.

          Pros & Cons

          ✓ Pros

          • ✓Permission-aware retrieval that enforces each source system's existing ACLs, so users only see documents and data they are already authorized to access — eliminating the risk of inadvertent data leakage through the AI layer.
          • ✓40+ prebuilt connectors for common enterprise systems (SharePoint, Salesforce, Confluence, Jira, ServiceNow, Slack, S3, and more) reduce integration time and allow organizations to unify search across silos without custom development.
          • ✓Data stays inside the customer's AWS account and is not used to train foundation models, which satisfies strict data sovereignty and privacy requirements in regulated industries.
          • ✓Amazon Q Apps lets non-developers package prompts and data-source lookups into reusable internal applications without writing code, democratizing AI-powered workflow automation across the organization.
          • ✓Deep integration with the rest of AWS, including QuickSight for BI dashboards, Connect for contact center agent assist, and CloudTrail for audit logging, creates a unified AI layer across the AWS ecosystem.
          • ✓Enterprise compliance coverage including HIPAA, SOC 1/2/3, ISO 27001, GDPR, and FedRAMP Moderate/High (GovCloud), plus VPC endpoints, CloudTrail logging, and admin guardrails for topic blocking and response controls.

          ✗ Cons

          • ✗Per-user pricing ($3/user/month for Lite, $20/user/month for Pro) adds up quickly for large organizations, especially when every employee needs Pro-tier features like Q Apps and action plugins.
          • ✗Setup and administration require AWS expertise — configuring IAM Identity Center, data source connectors, index units, and VPC networking can be complex for teams without dedicated AWS administrators.
          • ✗Answer quality depends heavily on how well source data is structured and indexed; poorly maintained wikis, untagged documents, or inconsistent naming conventions degrade retrieval relevance significantly.
          • ✗Real value is concentrated in organizations already using AWS and supported connectors; teams on Azure, GCP, or unsupported SaaS tools face limited connectivity and may not see the same ROI.
          • ✗Agentic plugin ecosystem is narrower than competitors — many automation use cases still require custom development through the plugin SDK rather than being available as prebuilt integrations.

          Frequently Asked Questions

          How does Amazon Q Business handle document permissions?+

          Q Business propagates each user's identity (via IAM Identity Center, Okta, Entra ID, or other SAML providers) through to every connected data source. When a user asks a question, Q Business checks the source system's access control lists (ACLs) and only returns results from documents that user is already authorized to see. This means no additional permission configuration is needed — if a user cannot access a file in SharePoint, they will not see answers derived from that file in Q Business.

          Is my company's data used to train foundation models?+

          No. AWS states that customer data indexed or queried through Amazon Q Business is not used to train the underlying foundation models. All data remains within the customer's AWS account and region, and AWS provides contractual commitments around data handling in the AWS Service Terms.

          What is the difference between Amazon Q Business and Amazon Q Developer?+

          Q Business is for knowledge workers and answers questions from enterprise data sources like SharePoint, Confluence, and Salesforce. Q Developer is for software developers and provides code suggestions, code chat, debugging assistance, and AWS infrastructure troubleshooting within IDEs and the AWS console. They are separate products with separate pricing, though both fall under the Amazon Q brand.

          Which enterprise data sources can Amazon Q Business connect to?+

          AWS provides 40+ managed connectors, including SharePoint, OneDrive, Microsoft Teams, Exchange, Google Drive, Gmail, Salesforce, ServiceNow, Jira, Confluence, Slack, Zendesk, Amazon S3, Box, Dropbox, Snowflake, and Amazon RDS. For proprietary or unsupported systems, AWS offers a custom connector SDK that allows organizations to build their own integrations.

          How does pricing work for Amazon Q Business?+

          Amazon Q Business is priced per user per month. The Lite tier is $3/user/month and the Pro tier is $20/user/month, with Pro including full chat, document summarization, Amazon Q Apps authoring, plugins for actions, and higher usage limits.

          🔒 Security & Compliance

          —
          SOC2
          Unknown
          —
          GDPR
          Unknown
          —
          HIPAA
          Unknown
          ✅
          SSO
          Yes
          —
          Self-Hosted
          Unknown
          —
          On-Prem
          Unknown
          —
          RBAC
          Unknown
          —
          Audit Log
          Unknown
          —
          API Key Auth
          Unknown
          —
          Open Source
          Unknown
          —
          Encryption at Rest
          Unknown
          —
          Encryption in Transit
          Unknown
          Data Residency: CUSTOMER-SELECTED AWS REGION
          🦞

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          What's New in 2026

          Through 2025 and into 2026, AWS has expanded Amazon Q Business with deeper agentic capabilities, including enhanced plugin actions for write-back into Jira, ServiceNow, and Salesforce. Amazon Q Apps has matured with more templates and sharing controls. Connector coverage has grown beyond 40 sources, and AWS has improved relevance tuning with admin-configurable boosting and filtering rules. Integration with Amazon Q in QuickSight and Connect has deepened, and AWS has added guardrails for topic blocking and response style enforcement.

          Alternatives to Amazon Q Business

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          Notion AI

          Personal Agents

          AI built into Notion that answers questions from your workspace, writes and edits content inline, runs autonomous agents, and automates database tasks. Gets smarter the more your team uses Notion.

          Microsoft Copilot

          AI Agent Builders

          Microsoft Copilot is an AI companion that helps users get advice, feedback, straightforward answers, generate images, create podcasts, take quizzes, and search with enhanced references.

          View All Alternatives & Detailed Comparison →

          User Reviews

          No reviews yet. Be the first to share your experience!

          Quick Info

          Category

          Enterprise Agents

          Website

          aws.amazon.com/q
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