Amazon launches agentic AI workspace to take on Microsoft Copilot
Amazon has launched Amazon Quick, an agentic AI workspace for enterprise teams that connects to internal data, third-party apps, and the web to answer questions and trigger automated actions.
Amazon just announced Amazon Quick, an agentic AI workspace for enterprise teams. It sits across existing apps and data sources, letting users ask questions in natural language and convert the answers into automated actions without switching between tools.
The product is generally available, with pricing at $20 per user per month for the Professional tier and $40 for Enterprise. New customers get a 30-day free trial for up to 25 users.
Amazon Quick bundles several components into one workspace:
- Quick Chat: Ask questions about internal company data, wikis, databases, and connected apps.
- Quick Research: Deep research that combines internal knowledge with public web data to produce market analysis and strategic reports.
- Quick Sight: Business intelligence and data visualization, carried over from AWS’s existing QuickSight product.
- Quick Flows: Workflow automation. Among the things it can handle: creating and updating tickets in Zendesk, Jira, or ServiceNow, managing Salesforce opportunities, and triggering multi-step processes across departments.
- Spaces: Shared workspaces that organize agents, dashboards, and knowledge for specific teams or projects.
It connects to AWS services like S3 and Redshift, as well as third-party tools including Salesforce, Slack, Snowflake, and over 1,000 additional apps via MCP connectors. AWS says queries are not used to train models.
Amazon is entering a space where Microsoft has been building for years. Copilot is already embedded across Microsoft 365 and has been positioning itself as the default AI layer for enterprise work.
Bottom line: Amazon Quick is a direct answer to Microsoft Copilot, and the feature set is comparable on paper. Whether enterprise teams already locked into AWS infrastructure will find it compelling enough to adopt is a different question.
Source: AWS
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