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Amazon Web Services (AWS) has expanded Amazon Quick with autonomous AI agents that can complete tasks continuously on behalf of users, marking the company’s shift from AI assistants toward agentic AI for enterprise productivity. The update also introduces an enhanced Activity Feed, new enterprise integrations and cross-platform data reasoning.
AI is entering a new phase in the workplace. Rather than simply responding to prompts, enterprise AI is increasingly expected to execute tasks independently, monitor business activity and continuously assist employees throughout the workday. AWS is embracing that shift by expanding Amazon Quick with autonomous AI agents, transforming its existing AI assistant into a platform capable of carrying out work on behalf of users across multiple enterprise applications.
The latest release enables organizations to create AI agents that operate continuously in the background, handling repetitive processes while employees focus on higher-value activities.
Users can build agents through natural-language instructions or select preconfigured templates, deciding how much autonomy each agent receives while maintaining organizational guardrails.
“At Amazon Quick, users define and grant access permissions to their applications, files and data, selecting the level of integration they consider appropriate. The tool was built to be intuitive and accessible for anyone while maintaining the highest standards of security, governance and performance,” says Manuel Purón, head of technology at AWS Mexico.
He adds that deployment takes only minutes and requires only an email address to begin using the platform.
From AI Assistant to Autonomous ‘Co-Workers’
Unlike conventional AI assistants that wait for user prompts, Amazon Quick’s autonomous agents continue working even when employees are occupied elsewhere. They can monitor business processes, prepare follow-up communications, summarize regulatory changes, update customer records and execute repetitive workflows without requiring continuous supervision.
AWS says organizations can tailor each agent’s autonomy according to operational requirements, ranging from step-by-step instructions to broader objectives where the AI determines how to complete a task independently. Users remain able to review progress, provide additional guidance and approve outputs directly within Quick, allowing the system to improve continuously through ongoing interaction.
The expansion builds on Amazon Quick’s existing ability to connect with enterprise applications and workplace information. Rather than restricting users to a single software ecosystem, the platform integrates with widely used business tools including Slack, Microsoft Teams, Outlook, Gmail, Salesforce, Airtable, Canva and Asana, allowing 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.
A unified workspace for enterprise decision-making
Alongside autonomous agents, AWS introduced an enhanced Activity Feed designed to reduce the time employees spend organizing their workday.
The feature consolidates emails, messaging platforms, calendars and tasks into a prioritized workspace that automatically highlights urgent communications, prepares meeting briefings and drafts responses before users begin their day.
Quick also expands its ability to retrieve and analyze enterprise information across multiple business systems simultaneously. Instead of searching separate applications individually, users can ask complex business questions in natural language and receive responses that combine data from different enterprise platforms while respecting existing access controls.
The platform can also generate interactive dashboards and analytical summaries directly from those queries.
Beyond information retrieval, Amazon Quick supports content generation, presentation development, image creation and the development of dashboards and no-code business applications through conversational prompts.
AWS also introduced a catalog of Skills, Agents and Connectors that organizations can deploy immediately or customize for internal use, enabling departments such as sales, finance and marketing to automate recurring business processes.
Innovation While Enterprise Security Remains Central
As organizations expand the use of autonomous AI, governance becomes increasingly important. AWS says Amazon Quick operates on the same cloud infrastructure that supports highly regulated industries, incorporating 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 US$7.6 billion in 2025 with a forecast of US$10.9 billion by 2033, reflecting increasing enterprise investment in AI systems designed to improve productivity through automation.
AWS says organizations including 3M, AstraZeneca, BMW, the NFL and Mondelēz International are already using Amazon Quick technology. One example is NFL IQ, an AI assistant developed with AWS that enables analysts and broadcasters to retrieve complex statistics and player-tracking insights through natural-language queries, reducing analysis times from hours to seconds.
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