Amazon Challenges AI Workplace Dominance with Quick Suite Launch

AWS's new agentic solution is a searchable AI hub for all your enterprise needs

Quick Suite uses conversational language to find what you need. 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 agent-based solution that can even take actions on workers' behalf using natural language prompts. Also: 86% of businesses use AI for this one surprising task, Deloitte finds 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 Quicksuite 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." A workplace administrator can link AgentSuite 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, AgentSuite 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. Also: Unchecked AI agents could be disastrous for us all - but OpenID Foundation has a solution 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. In a hands-on demo, I had the opportunity to use AgentSuite 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 AgentSuite had incorporated every helpful feature from the consumer AI tools already available on the market into an enterprise solution. 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 that is specific to your company and your role. Also: ChatGPT's Codex just got a huge upgrade that makes it more powerful than ever - what's new While both Gemini and ChatGPT offer data connectors, they aren't nearly as expansive as the suite of tools that can be connected via AgentSuite, 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. Then, the Quick Flows and Quick Automate features are where Agent 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.

Amazon's Quick Suite is like agentic AI training wheels

Slow down there Andy; you wouldn't want to bump into any hallucinations Despite ongoing concerns over the accuracy, reliability, and trustworthiness of AI in the enterprise, Amazon believes that if it can just make building agents easier for the average worker, they'll be automating the boring parts of their job in no time. On Thursday, the house that Bezos built unveiled a new software platform called Quick Suite which aims to simplify the creation of AI agents and enterprise chatbots capable of retrieving information from various internal and external sources, visualizing data, generating reports, and automating mundane tasks. The offering is reminiscent of many agentic AI workflow platforms like Google Gemini Enterprise (recently rebranded from AgentSpace) and n8n and provides a no-code-like environment for connecting internal documents, wikis, forums, intranets, and other data sources while using them to create agents capable of tasks such as recapping emails, sending messages, or updating Jira tickets. At launch, the software suite works with 50 popular enterprise platforms like Office 365, Slack, and SalesForce. Amazon says you can extend Quick Suite's functionality by using MCP servers, a technology we looked at in depth earlier this year. However, AWS hasn't just made another drag-and-drop agent builder. The e-commerce giant is also using generative AI models to help users plan out and create automated workflows that take advantage of tools such as LLMs in a matter of minutes. For example, Amazon's Quick Flows is designed to automate routine tasks by allowing the user to explain what they're trying to accomplish and what the deliverable should look like. Meanwhile, Amazon's Quick Automate is similar in concept but is designed to support more complex projects. Many of the suite's other components will be familiar to anyone who's used popular chatbot services like OpenAI's chatGPT or Anthropic's Claude. Among the more recognizable features is Amazon's Quick Research tool, which, from what we can tell, works just like OpenAI's Deep Research, but can be customized to source data from enterprise platforms and databases in addition to the web. Quick also includes data visualization functionality which Amazon says extracts information from various data sources then charts and analyzes them on the user's behalf. This is not unlike what Anthropic has been doing with its Artifacts features. Amazon's latest platform may be the barrier to entry for enterprises looking to harness AI to automate low-value tasks, streamline operations, and/or downsize workforces, but challenges remain, particularly in the areas of trust and security. Research from Carnegie Mellon University and Salesforce published earlier this summer found that AI agents got office tasks wrong roughly 70 percent of time. To inspire confidence in the Quick Suite, Amazon employees have apparently been dogfooding its various features. For example, the e-commerce giant is using the Quick Automate to reconcile thousands of invoices and cross reference internal data in order to forecast cash flow and conduct root cause analysis. Amazon's Associate General Council Jessica Gibson is apparently using Quick Research to help the E-tailer's legal, public policy, and compliance departments to investigate things like the impacts of regulatory changes across geographies. Amazon may be willing to take the risk should an AI agent hallucinate data and inspire somebody to act accordingly -- but many enterprises are not. And while the success rate of AI agents will no doubt improve with time, as enterprises grow more confident in their abilities, the potential for unintended consequences increases as well. Roughly three-quarters of enterprises surveyed by a recent Gartner report say that they're either piloting or have deployed AI agents in some capacity. However very few of the agents have been given free rein to operate autonomously, and it's easy to see why. Even when generative AI isn't allowed to make decisions for itself, the risk of hallucinations remains an ongoing concern, made worse by highly publicized scandals like earlier this year when a lawyer was caught using ChatGPT after it hallucinated a string of non-existent legal cases. Despite this, Gartner still sees value, predicting that by 2028 about 15 percent of daily work decisions will be made by AI agents. ®

Amazon takes on Microsoft and Google in the workplace with new 'Quick Suite' business AI platform

Amazon Web Services is launching a new artificial intelligence platform for everyday business users, moving further beyond core cloud infrastructure to compete more directly against Microsoft's Copilot, Google's Gemini, and AI startups. The platform, Amazon Quick Suite, was announced Thursday morning. It's a collection of agentic AI tools that can automate tasks by connecting with internal documents and databases, and third-party apps and services. For example, Amazon says the tools can recap emails, send messages, update project tickets, automate content creation, and build customer strategies, using a company's own data securely and privately. Quick Suite integrates with third-party services like Salesforce for customer data, Zendesk for support tickets, and Slack for team collaboration, according to the company. One of Amazon's advantages: its ability to test new enterprise tools with its own massive workforce before public release. The company said Quick Suite has already been deployed to tens of thousands of Amazon employees -- reporting that the tool has reduced complex data analysis tasks from months to minutes, for example, based on internal use. One of its challenges: Unlike its rivals, Amazon does not own a native productivity suite like Microsoft 365 or Google Workspace. This means it must convince users to adopt its platform as an overlay on top of the tools they already use. It's a big hurdle in a market where its competitors can embed their AI assistants directly into their existing software. AWS marketing chief Julia White told Bloomberg that existing customers of the Amazon Q Business AI software, which launched 18 months ago, will be encouraged to migrate to the new platform. White was previously a longtime Microsoft executive. Amazon says Quick Suite will be available in two tiers: a Professional plan starting at $20 per user per month, and an Enterprise plan at $40 with advanced features. Quick Suite includes a few individual tools: * Quick Sight, a business intelligence tool for data analysis and visualization that puts AWS in direct competition with platforms like Tableau and Microsoft Power BI. * Quick Research for generating cited reports from internal and external data. * Quick Flows for simple, repetitive tasks. * Quick Automate for handling complex, enterprise-wide workflows. AWS says it has rolled out the platform to hundreds of corporate beta customers, citing examples of significant cost savings and efficiency improvements.

Amazon Quick Suite wants to help your business build its AI agents in no time at all

Businesses can link with internal repos or third parties via MCP AWS has launched a new agentic AI platform to help business users find insights, research, automate tasks and visualize data across multiple apps. Quick Suite, an Amazon Web Services (AWS) product, uses agentic AI to connect with internal repositories, like wikis and intranets; AWS's own services, like S3 and Redshift; as well as over 1,000 third-party apps via MCP, an Anthropic-developed open standard. Although it's a new launch, AWS says it has already tested the feature with tens of thousands of employees and dozens of customers. AWS says Quick supports workers entering a new era, where they can interact with data via intuitive, web-based experiences, or via popular apps like Office 365 and Slack. "Working with an AI agent is now as simple as chatting with a teammate," the company said. Quick includes 50 built-in connecters to popular data platforms like Adobe Analytics, Snowflake, Salesforce and cloud storage platforms, but businesses can also use OpenAI or MCP to connect to custom resources. AI agents make interactions with the data more powerful, taking care of tasks like writing and sending communications based on insights unlocked via the Quick Suite. Apart from building custom AI agents, the Quick Suite comprises a handful of other Quick-branded products: Quick Sight, for analyzing structured and unstructured data and answering questions with visual insights; Quick Research, which combines company data with over 200 trusted sources for real-time context; Quick Flows, for creating automated workflows; and Quick Automate, which can handle more complex, multi-system workflows. A separate post confirms that Quick Suite is now generally available, but only across US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland) with more regions set to follow in the coming months.

The next AI battleground: Google's Gemini Enterprise and AWS's Quick Suite bring full-stack, in-context AI to the workplace

The friction of having to open a separate chat window to prompt an agent could be a hassle for many enterprises. And AI companies are seeing an opportunity to bring more and more AI services into one platform, even integrating into where employees do their work. OpenAI's ChatGPT, although still a separate window, is gradually introducing more integrations into its platform. Rivals like Google and Amazon Web Services believe they can compete with new platforms directly aiming at enterprise users who just want a more streamlined AI experience. And these two new platforms are the latest volley in the race to bring enterprise AI users into one central place for their AI needs. Google and AWS are separately introducing new platforms designed for full-stack agent workflow, hoping to usher in a world where users don't need to open other windows to access agents. Google unveiled Gemini Enterprise, a platform that Google Cloud CEO Thomas Kurian said "brings the best of Google AI to every employee." Meanwhile, AWS announced Quick Suite, a series of services intended to exist as a browser extension for enterprises to call on agents. Both these platforms aim to keep enterprise employees working within one ecosystem, keeping the needed context in more local storage. Quick Sight AWS, through Bedrock, allowed enterprises to build applications and agents, test these and then begin deployment in one space. However, Bedrock remains a backend tool. AWS is banking that organizations will want a better way to access those agents without having to leave their workspace. Quick Suite will be AWS's front facing agentic application for enterprises. It will be a browser extension for Chrome and Firefox and accessible on Microsoft Outlook, Word and Slack. AWS vice president for Agentic AI Swami Sivasubramanian said Quick Suite is the company's way of "entering a new era of work," in that it gives employees access to AI applications they like with privacy considerations and context from their enterprise data. Quick Suite connects with Adobe Analytics, SharePoint, Snowflake, Google Drive, OneDrive, Outlook, Salesforce, Service Now, Slack, DataBricks, Amazon Redshift, and Amazon S3. Through MCP servers, users can also access information from Atlassian, Asana, Box, Canva, PagerDuty, Workato or Zapier. The platform consists of several services users can toggle to: * An agent builder accessible through a chat assistant * Quick Sight to analyze and visualize data * Quick Research which can find information and build out research reports. Users can choose to limit the search to internal or uploaded documents only or to access the internet * Quick Flows to allow people to build routine tasks through simple prompts * Quick Automate for more complicated workflows where the model will can begin coordinating agents and data sharing to complete tasks AWS said it orchestrates through several foundation models to power Quick Suite's services. Gemini Enterprise Google had already begun offering enterprise AI solutions, often in fragmented products. It's newest offering, Gemini Enterprise, brings together the company's AI offerings in a single place. Products like Gemini CLI and Google Vids will be integrated and accessible through Gemini Enterprise. "By bringing all of these components together through a single interface, Gemini Enterprise transforms how teams work," Kurian said in a blog post. It is powered by Gemini models and connects to an enterprise's data sources. Gemini always connected to Google's Workspace services such as Docs and Drive, but Gemini Enterprise can now grab information from Microsoft 365 or other platforms like Salesforce. The idea behind Gemini Enterprise is to offer "a no-code workbench" for any user to surface information and orchestrate agents for automation. The platform includes pre-built agents for deep research and insights, but customers can bring in their own agents or other third-party agents. Administrators can manage these agents and workflows through a visual governance framework within Gemini Enterprise. Google said some customers have already begun using Gemini Enterprise including Macquarie Bank, legal AI provider Harvey and Banco BV. Google told VentureBeat that other platforms, like Vertex AI, remain separate products. Pricing for Gemini Enterprise, both the standard and pulse editions, start at $30 per seat per month. A new pricing tier, Gemini Business, costs $21/seat per month for a year. Uninterrupted work in one place In many ways, enterprise AI was always going to move to this more full-stack, end-to-end environment where people access all AI tools in one place. After all, fragmented offerings and lost context turn off many employees who already have a lot on their plate. Removing the friction of moving windows and possibly losing context to what you're working could save people a lot more time, and make the idea of using an AI agent or chatbot more appealing. This was the reasoning behind OpenAI's decision to create a desktop app for ChatGPT and why we see so many product announcements around integrations. But now, competitors have to offer more differentiated platforms or they risk being labled as copycats of products most people already use. I felt the same during a demo of Quick Suite, thinking it felt similar to ChatGPT. The battle to be the one full-stack platform for the enterprise is just beginning. And as more AI tools and agents become more useful for employees, there will be more demand to make calling up these services as simple as a tap from their preferred workspace.

Amazon launches Quick Suite to bring AI agents into the enterprise workplace - SiliconANGLE

Amazon launches Quick Suite to bring AI agents into the enterprise workplace Amazon Web Services Inc. unveiled a new artificial intelligence tool today to act as a virtual teammate for enterprise users providing digital agents to automate tasks, visualize data and take actions across apps. The tool, Amazon Quick Suite, collaborates with users to get work done by connecting with enterprise information sources to provide answers, take action and automate work through an intuitive web-based interface and integrations with Microsoft Corp.'s Office 365, Slack and other digital work spaces. "Working with an AI agent is now as simple as chatting with a teammate," said Swami Sivasubramanian, vice president of AWS agentic AI. "Make a request, ask a question, or automate a task. Quick works with you to help you go from insight directly to action." Quick includes more than 50 built-in connectors to provide a complete view of company data and productivity tools including Adobe Analytics, SharePoint, Snowflake and Google Drive. With integrations such as OpenAPI and Model Context Protocol customers can link in custom resources from even more services including Atlassian, Asana, Box and Canva among more than 1,000 apps. Users can organize these data sources into Spaces, a sandbox that integrates information and applications so the platform can index and understand company and personal context. Using this broad connectivity, users and teams can build custom AI agents capable of focusing on specific aspects of their work, conducting research and taking action. The platform offers powerful capabilities that leverage this unified view across apps and data. With Quick Sight, business users can request analytical insights using AI agents to pull in data from multiple business apps and build dashboards that combine business intelligence and research. Going beyond analytics and visualization, Quick Research provides an agent that can dive deep into data, web resources and company knowledge to deliver comprehensive reports on any topic. Amazon said it tested its research capability on the DeepResearch Bench, a broad benchmark for evaluating research agents, where it received high marks for providing highly accurate and reliable research. Routine and complex tasks can also be managed through Quick Flows and Quick Automate. Flows allow users to create digital workflows using simple prompts to handle repetitive work, reducing human error and freeing teams from busywork. Automate can coordinate complex business processes, even those spanning hundreds of steps and multiple departments. Quick has extensions for popular browsers like Google Chrome and Mozilla Firefox, and plug-ins for Microsoft Outlook, Teams, Word and Slack. This allows users to gain access to Quick where they work, in the apps they use during the workday and stay in the "flow" of their work. "We've been testing Quick with employees across Amazon and key customers to ensure it's up to the demands of today's workplace, and the results speak for themselves," Sivasubramanian said. He added that Amazon employees have used Quick to automate tasks that once took days, transforming them into minutes, including developing critical reports and building fleets of personalized agents. Leading marketing automation company Propulse Lab used Quick to streamline its customer service operations, reducing average ticket-handling time by 80%. With this performance scaled across its business, the company estimates it will save 24,000 hours annually.

AWS just launched an AI that works inside your Slack Salesforce and Jira

The platform's Quick Automate component is designed to be powerful enough to fully automate complex multi-step processes like invoice reconciliation. Amazon Web Services announced the October 2025 general availability of Amazon Quick Suite, an AI-powered workspace for enterprises. The platform functions as an agentic AI hub, designed to integrate disparate business data, automate complex tasks, and generate operational insights across an organization. Quick Suite operates as a central AI hub capable of connecting with and searching for information from numerous enterprise sources. These connections include communication platforms like Slack, customer relationship management systems such as Salesforce, data warehouses like Snowflake, proprietary internal databases, and the public internet. Its core agentic AI capabilities combine retrieval, reasoning, and action, allowing its AI agents to not only locate answers but also to execute tasks directly within other business applications. Examples of these automated actions include creating new tickets in Jira or updating sales opportunities in Salesforce without requiring manual user intervention. The platform features dedicated tools specifically for building and managing process automation. A component named Quick Flows enables the creation of repeatable automations for common, recurring tasks. For more intricate operations, Quick Automate provides a framework for scripting complex, multi-step workflows. A specified application for this technology is the full automation of invoice reconciliation, a process that traditionally involves extensive manual work, data entry, and cross-referencing between systems. Security and governance controls are integrated directly into the platform's architecture to meet enterprise compliance standards. The system is designed to respect all existing user permissions and entitlements, ensuring the AI cannot access information beyond a specific user's authorized level. All activities performed by the AI agents are logged for comprehensive auditing purposes. Strict data controls are applied, incorporating identity integration to manage user access and end-to-end encryption to protect data. This design ensures the AI only interacts with information that a user is already permitted to view or modify. The suite supports various business functions, with use cases including assisting teams in drafting detailed reports and preparing customer briefings by synthesizing data from meeting notes and contract terms. The platform also includes Quick Sight for running advanced tabular analytics and generating corresponding data visualizations. As of October 2025, Quick Suite is generally available in the US East, US West, Asia Pacific, and Europe AWS regions, with plans for future geographic expansion. A 30-day free trial is available for teams of up to 25 users. Amazon Quick Suite is a component of the broader AWS agentic AI ecosystem, complementing other tools that support the development and deployment of AI agents. This ecosystem includes Amazon Bedrock AgentCore, which provides foundational elements for building agents, and the Strands Agents SDK. Also included are the Amazon Nova foundation models, which are specifically tailored for agentic behaviors, and marketplaces that offer pre-built AI agents for various business needs.

Amazon reboots AI agent for workers, taking on ChatGPT, Copilot

Amazon is rolling out an updated version of its main artificial intelligence tool for business, the latest effort to grab a slice of the market for software designed to automate and speed up office work. Amazon Web Services on Thursday announced Quick Suite, a chatbot and set of AI agents that can analyze sales data, produce reports or summarize web content. Customers who were using Q Business, AI software Amazon released 18 months ago, will be encouraged to migrate to the new offering, said Julia White, the cloud unit's marketing chief. "We are putting this out now because both internal and external customers are like, 'This thing's good, let's go.'" Quick Suite, which costs $20 per user per month, can integrate with Slack and other tools from close Amazon partner Salesforce, and ingest data from internal databases, social media feeds, as well as Microsoft's file storage or Adobe's tools for creative professionals and marketers. The software is housed in a web app that can follow users around the internet via a browser plugin. White said Quick Suite recently rolled out to Amazon employees, who have churned through a series of AI tools in the last few years. "ChatGPT is great, but, you know, you can't use it at work," she said, nodding to the reluctance of many companies to let their workers put sensitive data into unsecured versions of the chatbot. Plenty of people are anyway, and the largest technology companies have raced to deploy tools capable of competing with ChatGPT maker OpenAI. Microsoft last week said it would move paid subscribers of its consumer Copilot chatbot into a new tier of its Office suite, an effort to shore up the company's position with workers who want to bring AI to work. Alphabet Inc.'s Google on Thursday announced the debut of an AI platform called Gemini Enterprise, which is also aimed at everyday workers. The platform will cost a monthly fee of $30 per user, Google said. Unlike those companies, AWS is a stranger to most laptop-toting workers, and didn't play a leading role in the introduction of popular AI services. The most successful AWS products are building blocks like file storage and processing power for corporate technology departments and web developers. Rank-and-file office workers may be using software running on Amazon's data centers, but they rarely encounter AWS-branded products. Amazon's efforts over the years to build applications for individual office workers have yielded mixed results. AWS has wound down document file sharing and videoconferencing tools, though it continues to sell software for call-center workers. White said Amazon Quick Suite will first target sales and marketing employees, as well as workers in analysis and business operations roles.

AWS Debuts Quick Suite as a Secure, Lower-Cost Rival to Copilot and Gemini Enterprise | PYMNTS.com

By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. Quick Suite as an enterprise-grade system that helps workers find information, analyze data, and automate tasks across multiple business applications, according to AWS. The platform connects securely to internal company data and productivity tools such as Salesforce, Slack, Microsoft 365, and Adobe Analytics, enabling users to ask questions and trigger actions from a single interface. As reported by Bloomberg, Quick Suite replaces AWS's earlier Q Business software and targets sales, marketing, and operations employees who spend significant time navigating data across platforms. "Working with an AI agent is now as simple as chatting with a teammate," said AWS Vice President Swami Sivasubramanian in the announcement. Quick Suite integrates more than 50 built-in connectors and over 1,000 applications through the Model Context Protocol, allowing companies to build custom AI agents without code. Modules such as Quick Research, Quick Flows, and Quick Automate help teams conduct deep research, generate dashboards, and manage multistep workflows. Quick Suite runs entirely within a company's AWS environment, meaning enterprise data never leaves the organization's secure cloud boundary. The system also leverages AWS's identity management and access controls, allowing companies to set permissions and audit usage down to the document level. This framework gives enterprises more visibility and compliance flexibility than tools embedded within Microsoft 365 or Google Workspace. The launch positions Amazon in direct competition with Microsoft's Copilot, priced at about $30 per user per month, and Google's Gemini Enterprise, which also costs $30 per user per month. Quick Suite is priced at $20 per user per month. The new platform enters a market racing toward agentic productivity, where AI agents coordinate daily work instead of simply assisting with it. As covered in PYMNTS, Amazon has been testing similar agentic systems for consumers, and executives recently said agentic AI customers are shaping future growth.