Amazon Quick Suite Unveils AI-Powered Productivity Tools for All Employees

Research By: Shashi Bellamkonda, Info-Tech Research Group

The enterprise agent space is becoming more competitive. On October 9, 2025, Google launched Gemini for Enterprise, and Amazon announced an end-user platform called Quick Suite. Both platforms streamline information access and workflow automation, reducing the need for employees to switch between multiple applications. Amazon Quick Suite centralizes business intelligence, research, and workflow setup in one platform.

Instead of using individual agents or chatbots within different applications, Quick Suite integrates with many of the business systems like Salesforce CRM, Zendesk, and Slack. Quick Suite can take actions like sending a Slack message or creating a help desk ticket automatically as needed. Amazon states that Quick Suite is built with AWS security and compliance, which is a big concern for companies that are wary of data privacy issues.

Key components of Amazon Quick Suite

  • Quick Index: Build a unified database by indexing material like documents, emails, files, and databases to enable enterprise-wide search, ensuring the results are from internal content. This works not only for Amazon-hosted applications; it can index content from other sources like Google Workspace and Microsoft SharePoint.
  • Quick Research: This agent gathers information from both internal and external sources to answer complex questions quickly.
  • QuickSight BI: Offers users a way to query data in natural language and can create charts, summaries, and model “what-if” scenarios.
  • Quick Automate: This is a process designer that can create a multistep and multisystem workflow from a document or a description of the process in natural language. Amazon is presenting this as sophisticated no-code functionality that will allow nontechnical users to develop complex business processes. For example, an onboarding process touching multiple departments can be set up by an HR employee.
  • Quick Chat and Spaces: The conversational UI lets users easily access AI features. Spaces offer tailored workspaces for teams or projects by connecting relevant data, enabling tailored knowledge stores for teams and departments like Marketing or Engineering.

Proposed Value

  • Faster insights and decisions
  • Improved productivity & automation
  • Wider access to data
  • Enterprise-ready and secure governance
  • Reduce or eliminate manual processes freeing up resources

Target Market

Unlike AWS’s usual focus on developers and IT teams, this platform targets nontechnical staff, knowledge workers, and business professionals. Amazon Quick Suite was first tested by internal Amazon employees and existing AWS analytics customers interested in generative AI.

It comes in two pricing tiers – Professional ($20/user/month) and Enterprise ($40/user/month), with the latter offering advanced features. At launch, the full suite of capabilities was available in a limited number of AWS regions: US East (N. Virginia), US West (Oregon), Europe (Ireland), and Asia-Pacific (Sydney).

Competition

Microsoft 365 Copilot: The most direct competition for the Amazon Quick Suite is Microsoft 365 Copilot combined with Microsoft Power Platform. Microsoft has the advantage of native integration into the productivity apps workers already use daily, whereas Quick Suite must convince customers to use a separate environment.

Google Gemini for Enterprise: Announced on the same day as Amazon’s announcement, it offers similar functionality, and Google may have the advantage of having many partner-developed AI agents already available in Agentspace, along with comparable security and integrations. Both integrate with Microsoft 365.

Salesforce’s Agentforce: During the recent DreamForce event, Salesforce announced agents in CRM and Slack that they termed Slack OS, which may incent Salesforce customers to stay in a familiar ecosystem.

Other competitors may include enterprise LLM companies that provide similar capabilities to those offered by Anthropic, which developed a custom solution for Deloitte’s 470,000 global employees.

Other companies that could compete with the automation aspect are Boomi with its Agent Garden, UiPath, Automation Anywhere, and ServiceNow.

Our Take

AWS has long been a leader in infrastructure and backend services, and its recent focus on end-user platforms reflects a smart pivot. As workplace technology evolves, future growth will increasingly depend on tools that employees interact with daily.

While AWS lacks native user-facing applications like email or CRM, its Quick Suite bridges this gap by integrating with widely used platforms such as Microsoft OneDrive, SharePoint, and Google Drive. This interoperability helps mitigate some of its limitations and positions AWS to support productivity use cases more effectively.

For technology leaders, the priority should be to align platform capabilities with the specific needs of business units. This includes evaluating potential productivity gains, training requirements, and integration costs. AWS often provides trial access or pilot programs, making it easier to validate solutions before full-scale adoption.

A proof of concept is highly recommended. Select a focused use case – such as using Quick Research to generate a market report or Quick Flows to automate a monthly KPI dashboard – and measure outcomes like time saved, quality of output, and user satisfaction. These insights will help build a compelling business case backed by real data.

A word of caution, a no-code platform does not mean that IT is not involved. Involvement from IT to set up data connections and governance policies is critical and needs to be resourced.

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