AWS Summit 2025 at the Javits Center in NYC.
Sabrina Ortiz/ZDNET
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ZDNET’s key takeaways
- Amazon Quick Suite is an agentic AI experience for enterprises.
- Quick Suite uses conversational language to find what you need.
- In some instances, it can even perform tasks on your behalf.
Knowledge workers have critical data spread across multiple applications, from their email inboxes to company databases and beyond. To help them find what they need more quickly, AWS has launched an AI agent-based solution that can even take actions on workers’ behalf using natural language prompts.
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Amazon Quick Suite, released Thursday, is an “agentic AI experience that reimagines the way people get work done,” AWS said in an announcement. Jose Kunnackal John, the new product’s director, described it in a briefing as “everything you want to do with ChatGPT at work, but can’t.”
Practically speaking, the app serves as a hub that pulls data from various sources, including files, enterprise systems, databases, the web, and more. Here, users can use natural language to discuss questions, build personalized agents, and complete tasks while leveraging data protections.
“Amazon Quick Suite is something that gets you the answers you need quickly, but formats all your data,” said John. “Think of it as an agentic teammate that you have in order to help you with your work.”
How it works
A workplace administrator can link Quick Suite to various applications, including personal repositories like Google Drive, Office 365 apps, Slack, and email, as well as company-wide data repositories such as Snowflake, Amazon Redshift, Databricks, and Oracle. Additionally, Quick Suite can be integrated with systems like Salesforce and Jira.
Once the applications are connected, users have the option to interact in multiple ways, including creating custom agents, asking questions that refer to and pull data from the relevant sites, and generating detailed research reports.
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To contextualize how AI agents could be helpful, John mentioned that a reporter might build an agent that utilizes all the feedback an editor has previously provided to offer help on future articles, thereby letting the reporter predict what edits will be made and save time. Another way a reporter could use it is for Quick Research, accumulating all of their articles in one workspace and then asking questions based on their own coverage.
Trying it myself
In a hands-on demo, I had the opportunity to use Quick Suite on various workspaces set up to suit those of different professionals, such as a salesperson, an IT manager, and a journalist. After spending some hands-on time with the tool, it became clear that Quick Suite had incorporated every helpful feature from the consumer AI tools already available on the market into an enterprise solution.
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For example, the Quick Research tool functions nearly identically to Deep Research, available on both ChatGPT and Google Gemini, and takes a bit of time to work in the background and generate a high-quality report. The major difference is that this time, it can pull in information specific to your company and role.
While both Gemini and ChatGPT offer data connectors, they aren’t nearly as expansive as the suite of tools that can be connected via Quick Suite, which gives users access to MCP to connect to over 1,000 apps, according to the post. Another example is Quick Sight, an agentic experience that allows you to analyze data from various sources and even create visuals.
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Then, the Quick Flows and Quick Automate features are where Quick Suite leverages its agentic capabilities. The Quick Flows feature enables users to create automated workflows for repetitive tasks, much like the way Gems in Gemini operate. Then, Quick Automate allows users to automate more complex processes. For instance, Amazon said that its Finance team uses it to reconcile thousands of invoices every month.
How to try it
AWS offers a free 30-day trial of Quick Suite, but for more specific pricing and info on getting started, visit this page.
