"AWS has launched Amazon Quick Suite, a new AI-powered workspace designed to connect company data, automate workflows, and perform actions across business applications. Quick Suite introduces agentic AI workspace, allowing users to interact with company systems using natural language while the platform executes actions on their behalf. The system can access structured and unstructured data from both internal and external sources, and users can query the system conversationally to find data, generate analyses, and complete operational tasks."
"Beyond simple question-answering, Quick Suite is designed to perform end-to-end actions. For example, an agent can create or update opportunities in Salesforce, log support tickets in Jira or ServiceNow, or trigger financial operations like reconciling accounts or processing invoices. The platform supports integration with enterprise APIs, enabling organizations to define and manage their own workflows. AWS emphasizes data privacy and control as key elements of Quick Suite."
"Customer data and queries are not used to train the underlying foundation models, and administrators can configure permissions, data access, and integration policies directly within the AWS Management Console. Setup involves connecting the desired data sources and applications, defining which users and teams can access each workspace, and selecting model options. Quick Suite workspaces are organized into Spaces, containers that group data, tools, and context relevant to a specific team or project."
Amazon Quick Suite is an AI-powered workspace that connects structured and unstructured internal and external data, enables conversational queries, and executes end-to-end operational tasks. Agents can perform actions such as creating Salesforce opportunities, logging Jira or ServiceNow tickets, and triggering financial operations like reconciliations and invoice processing. The platform integrates with enterprise APIs so organizations can define and manage workflows and permissions. Customer data and queries are not used to train foundation models, and administrators configure data access, integrations, and permissions via the AWS Management Console. Workspaces are organized into Spaces that group tools, data, and context and host agents with scoped access.
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