Amazon Q Business
Amazon Web Services / aws.amazon.com
AWS's enterprise AI assistant that connects to company data sources to answer employee questions, generate documents, summarise content, and automate tasks grounded in organisation-specific knowledge.
Pricing
$20/mo
Free plan
No
Category
Developer Tools
Platforms
3
Free plan
No
API access
Yes
Open source
No
Platforms
3
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What is Amazon Q Business?
Amazon Q Business is AWS's enterprise AI assistant, separate from Amazon Q Developer (which targets software development). Q Business connects to an organisation's internal data — documents in S3, content in SharePoint, Salesforce records, Confluence wikis, Jira tickets, and 40+ other connectors — to answer employee questions with citations to specific company sources rather than relying on general web knowledge.
The administrator experience involves setting up data source connectors, configuring access controls so employees only see data they are authorised to access, and tuning response behaviour. The user experience is a chat interface where employees ask questions and receive answers grounded in company knowledge with source citations.
Q Apps allows non-technical users to build simple AI applications — data extraction forms, content generation workflows, document summarisation tools — from natural language descriptions without writing code. These apps can be shared across the organisation through the Q Business portal.
The Insights feature provides analytics on what employees are asking, revealing gaps in documentation, frequently misunderstood policies, and knowledge management opportunities that IT and HR teams can act on.
At $20/user/month for Business tier, Q Business sits between Microsoft Copilot Studio (usage-based) and Glean (enterprise AI search) in price. For AWS-committed enterprises, Q Business's tight AWS integration and IAM access controls are significant advantages.
How Amazon Q Business works
Amazon Q Business runs as conversational ai agent software built around text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, slack, and teams, with API access for teams that want to embed it into their own products.
Watch Amazon Q Business in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Amazon Q Business.
Data source connectors
40+ pre-built connectors for common enterprise systems including SharePoint, Salesforce, Confluence, Jira, and ServiceNow for grounding responses in company data.
IAM access controls
AWS Identity and Access Management integration ensures employees receive answers only from data sources they are authorised to access, maintaining enterprise security.
Q Apps
No-code AI application builder allowing non-technical employees to create simple AI workflows — extraction, summarisation, content generation — from natural language descriptions.
Best use cases
Who should use it
Pros
- 40+ data source connectors cover most enterprise data systems without custom integration
- IAM access controls ensure employees only see data they are authorised to access
- Q Apps no-code application builder for non-technical employees
- $3/user/month Lite tier is affordable for broad internal deployment
Cons
- Enterprise knowledge quality depends on the quality and organisation of underlying data sources
- Less mature than Microsoft's M365 Copilot ecosystem for Microsoft-centric organisations
- No-code Q Apps are simple — complex AI workflows require Q Business API or Lambda
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Is it worth the price?
Lite $3/user/month (basic). Business $20/user/month (full features including document creation). 30-day free trial.
Model
Subscription
Starting price
$20/mo
Free trial
Yes
Tools like Amazon Q Business
Microsoft 365 Copilot and Copilot Studio are the Microsoft ecosystem alternative. Glean provides enterprise AI search as a standalone platform. Guru AI provides knowledge management with AI. Notion AI provides AI within Notion knowledge bases.
Amazon Q Business vs Amazon Nova
A side-by-side look at the closest alternative in this category.
Amazon Q Business
Amazon Web Services
Amazon Nova
Amazon Web Services
Lite $3/user/month (basic). Business $20/user/month (full features including document creation). 30-day free trial.
Pay-as-you-go via Amazon Bedrock. Nova Micro $0.035/M input tokens. Nova Lite $0.06/M. Nova Pro $0.80/M. Nova Premier (premium, higher pricing). No free tier but AWS free tier includes Bedrock credits.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. HIPAA eligible. Customer data not used for model training. IAM-based access controls.
AWS security standards. SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. HIPAA eligible. AWS enterprise compliance certifications.
Data processed within AWS infrastructure. Customer data not used to train foundation models. IAM access controls ensure employees access only authorised content in responses.
Amazon processes model inference data under AWS's comprehensive data handling policies. Models accessed via Bedrock benefit from AWS's zero data retention for inference option.
- 40+ data source connectors cover most enterprise data systems without custom integration
- IAM access controls ensure employees only see data they are authorised to access
- Q Apps no-code application builder for non-technical employees
- $3/user/month Lite tier is affordable for broad internal deployment
- AWS-native alternatives to Claude and GPT-4o simplify compliance for AWS data residency requirements
- Tiered pricing from $0.035/M tokens for Nova Micro enables cost optimisation for different use cases
- Bedrock integration provides unified API for switching between Nova, Claude, Llama, and Titan models
- FedRAMP authorisation covers US government and regulated industry deployment requirements
- Enterprise knowledge quality depends on the quality and organisation of underlying data sources
- Less mature than Microsoft's M365 Copilot ecosystem for Microsoft-centric organisations
- No-code Q Apps are simple — complex AI workflows require Q Business API or Lambda
- Newer models with less established benchmark performance than Claude 3 or GPT-4o
- Enterprise adoption will take time to build the community resources and integration ecosystem
- First-party bias: AWS marketing of Nova may oversell capabilities relative to third-party alternatives
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
AWS
Models
Amazon Nova Pro
Platforms
Web, Slack, Teams
Deployment
SaaS
Integrations
AWS (S3, IAM, Kendra), SharePoint, Salesforce, Confluence, Jira, ServiceNow, 40+ connectors
Team Collaboration
No
Launch Year
2024
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. HIPAA eligible. Customer data not used for model training. IAM-based access controls.
Data processed within AWS infrastructure. Customer data not used to train foundation models. IAM access controls ensure employees access only authorised content in responses.
What users are saying
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Common questions about Amazon Q Business
Editorial Verdict
Should you use Amazon Q Business?
Amazon Q Business is the best enterprise AI knowledge assistant for AWS-committed organisations that want employee Q&A grounded in company data with robust IAM access controls.
Last verified July 24, 2026.