en.Wedoany.com Reported - Amazon Web Services (AWS) is expanding Amazon Quick with autonomous AI agents, transforming its existing AI assistant into a platform capable of executing work across multiple enterprise applications. Its core capability is to continuously complete tasks on behalf of users, rather than merely responding to prompts. This update marks AWS's shift from an AI assistant to an autonomous AI for enterprise productivity, while introducing enhanced activity summaries, new enterprise integrations, and cross-platform data reasoning capabilities.
Currently, enterprise AI is entering a new phase, with the industry expecting AI to independently execute tasks, monitor business activities, and continuously assist employees throughout the workday. The latest version of Amazon Quick enables organizations to create AI agents that run persistently in the background to handle repetitive processes, allowing employees to focus on high-value activities. Users can build agents using natural language instructions or select pre-configured templates, and decide the level of autonomy each agent receives while maintaining organizational guardrails. Manuel Purón, AWS Mexico Head of Technology, stated that users define and grant access to their applications, files, and data within Amazon Quick, choosing the level of integration they deem appropriate; the tool is designed to be intuitive and accessible to anyone while maintaining the highest standards of security, governance, and performance. He added that deployment takes only minutes and requires just an email address to get started.
Unlike traditional AI assistants that wait for user prompts, Amazon Quick's autonomous agents can continue working even when employees are engaged in other tasks. They can monitor business processes, prepare follow-up communications, summarize regulatory changes, update customer records, and execute repetitive workflows without constant supervision. AWS stated that organizations can customize the autonomy level of each agent based on operational needs, ranging from step-by-step instructions to broader goals where the AI decides how to independently complete tasks. Users can still review progress, provide additional guidance, and approve outputs within Quick, allowing the system to continuously improve through ongoing interaction. This expansion builds on Amazon Quick's existing ability to connect enterprise applications and workplace information. The platform does not restrict users to a single software ecosystem but integrates with widely used business tools such as Slack, Microsoft Teams, Outlook, Gmail, Salesforce, Airtable, Canva, and Asana, enabling the assistant to understand work context across multiple environments. AWS has also expanded Quick's ecosystem with 16 additional integrations, including Adobe, Cisco Webex, Figma, Snowflake, Shopify, Smartsheet, WhatsApp, Zapier, and ZoomInfo, further extending the platform's ability to unify enterprise workflows across business applications.
In addition to autonomous agents, AWS has introduced enhanced activity summaries that consolidate emails, messaging platforms, calendars, and tasks into a prioritized workspace, automatically highlighting urgent communications, preparing meeting briefs, and drafting replies before users start their day. Quick has also expanded its ability to retrieve and analyze enterprise information across multiple business systems simultaneously. Users can ask complex business questions using natural language and receive answers that combine data from different enterprise platforms while respecting existing access controls. The platform can also generate interactive dashboards and analytical summaries directly from these queries. Furthermore, Amazon Quick supports content generation, presentation development, image creation, and dashboard development, as well as no-code business application development through conversational prompts. AWS has also introduced a catalog of skills, agents, and connectors that organizations can deploy immediately or customize for internal use, enabling sales, finance, and marketing departments to automate repetitive business processes.
As organizations expand their use of autonomous AI, governance becomes increasingly important. AWS stated that Amazon Quick runs on the same cloud infrastructure that supports highly regulated industries, integrating AWS Identity and Access Management (IAM), Amazon Virtual Private Cloud (Amazon VPC), encryption, and existing compliance controls into the platform. The company also maintains a human-in-the-loop approach for sensitive operations; users must explicitly authorize actions such as sending emails, modifying records, or accessing protected information, while customer data remains private and is not used to train third-party public AI models. According to Grand View Research, the Latin American AI agent market is expected to grow from $7.6 billion in 2025 to $10.9 billion by 2033. AWS stated that organizations including 3M, AstraZeneca, BMW, the National Football League (NFL), and Mondelēz International are already using Amazon Quick technology. One example is NFL IQ, an AI assistant co-developed with AWS that enables analysts and broadcasters to retrieve complex statistics and player tracking insights through natural language queries, reducing analysis time from hours to seconds.
