Meet all the needs that ChatGPT can’t! Amazon’s new enterprise AI assistant mobilizes multiple app services for office workers.

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Amazon is making efforts to compete for OpenAI’s enterprise customers. Its cloud computing service AWS has launched an upgraded version of its enterprise AI assistant, Quick Suite.

Following last year’s Q Business launch, Amazon AWS announced on Thursday, October 9th (US Eastern Time), the launch of the upgraded tool Quick Suite, making it clear they are targeting OpenAI’s enterprise customers. Quick Suite claims to meet all the needs of office workers who "want to use ChatGPT at work but can't."

Amazon announced on Thursday that Quick Suite integrates chatbot and AI agent functionalities, is able to analyze sales data, generate reports, or summarize web content. The tool can integrate various applications such as Slack, Salesforce, Microsoft file storage, and Adobe creative tools, allowing employees to extract and utilize data directly without having to switch between different apps and enterprise systems. Quick Suite charges $20 per user per month.

Julia White, AWS’s Head of Marketing, stated: “ChatGPT is great, but you know, you can’t use it at work.” She pointed out that many companies are unwilling to let employees input sensitive data into unsecured versions of chatbots.

White also revealed that Quick Suite has recently been rolled out internally among Amazon employees, and feedback from both internal and external customers has been positive: "We’re launching this product now because both internal and external customers say, 'This is great, we want it.'”

Quick Suite is yet another example of tech giants fiercely vying for the enterprise AI tools market. Last week, both Microsoft and Google made related moves—the former announced the migration of paid consumer Copilot users to a new tier of the Office suite, while the latter released Gemini Enterprise, an AI platform aimed at ordinary employees.

Natural Language Interaction Creates Personalized Agents

Jose Kunnackal John, Quick Suite’s Product Director, described it as “everything you want to do with ChatGPT at work but can’t.” The platform acts as a data hub, pulling information from files, enterprise systems, databases, and the web; users can use natural language to discuss issues, build personalized agents, and complete tasks.

John explained that Amazon’s Quick Suite can rapidly provide users with the answers they need, organizing and processing all data in specific formats—“You can think of it as an intelligent teammate that helps you get your work done.”

Workplace administrators can connect Quick Suite to a variety of applications, including Google Drive, Office 365 apps, Slack and email personal repositories, as well as company data sources like Snowflake, Amazon Redshift, Databricks, and Oracle. Salesforce and Jira can also be integrated.

Once applications are connected, users can interact in various ways, including creating custom agents, asking questions that cite relevant website data, and generating detailed research reports. Quick Suite operates as a web application and can follow the user’s actions on the internet through a browser plug-in.

Five Core Functions Cover Research to Automation

AWS introduced five core functions for Quick Suite. Among them, Quick Index is used to create searchable, secure repositories that can integrate documents, files, and app data. As a fundamental component of Quick Suite, it runs in the background, aggregating everything from databases and data warehouses to documents and emails into a single intelligent knowledge base.

Quick Research can conduct comprehensive research across enterprise data and external sources, offering contextual and actionable insights within minutes or hours. This agent systematically breaks down complex problems into organized research plans, automatically creating detailed frameworks outlining the methods and data sources needed for comprehensive analysis.

Quick Sight offers AI-driven business intelligence, transforming data into actionable insights through natural language queries and interactive visualization. Users can build dashboards and executive summaries with conversational prompts, making advanced analytics accessible without professional skills.

Quick Flows allows any user to automate repetitive tasks through natural language descriptions of workflows, requiring no technical knowledge.

Quick Automate helps technical teams build and deploy complex automation for multi-step processes that cross departments, systems, and third-party integrations.

Tech Giants Battle for Enterprise AI Tool Market

In addition to Amazon, other tech giants are also launching commercial AI tools targeted at enterprises. Last week, Microsoft announced that paid consumer Copilot chatbot users would be migrated to a new tier of the Office suite to consolidate the company’s position among employees hoping to bring AI into their workflow.

Google last Thursday also announced the launch of an AI platform called Gemini Enterprise, similarly aimed at everyday office workers, priced at $30 a month.

These actions show that the largest tech companies are racing to deploy tools that can compete with OpenAI, maker of ChatGPT.

Unlike those companies, AWS is relatively unfamiliar to most office workers who use laptops and has not played a leading role in bringing popular AI services to the workplace. AWS’s most successful products are foundational components such as file storage and processing capacity, offered to enterprise tech departments and web developers.

White said Quick Suite will first target sales and marketing staff, as well as workers in analytics and business operations roles. Although Amazon’s efforts to build applications for individual office workers over the years have had mixed results—it has closed its document sharing and video conferencing tools—it continues to sell software for call center workers.

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