Amazon Quick agentic AI platform launches on Windows and macOS

Amazon launches Quick for desktop users

Amazon has released Quick, its agentic AI platform, for general availability on Windows and macOS desktops. The enterprise assistant also received mobile updates for iOS and Android, featuring a unified activity feed that consolidates email, calendar, messaging, and customer relationship management data into a single priority view.

Quick addresses a growing problem for enterprise teams: as productivity tools multiply, the data they generate becomes siloed and notifications become overwhelming. The platform uses AI agents to filter routine items in the background while surfacing high-value tasks that require human attention.

The system provides a centralized dashboard that aggregates data from multiple systems, meetings, follow-ups, and chats throughout the workday. AI agents can summarize messages, convert information into bullet points, and respond to routine communications automatically.

Persistent agents across devices

A distinguishing feature of Quick is that its autonomous agents continue operating even after users close their laptops or shut down their desktops. Users can configure agents to scan inboxes before morning, prepare weekly report summaries every Monday, or handle other recurring tasks.

The platform runs on Amazon Web Services infrastructure, enabling agents to follow users across desktop and mobile interfaces. Work continues seamlessly between devices, with agents remaining active regardless of which interface a user is accessing.

Quick's notification management system prioritizes alerts based on active projects and ongoing conversations. Users can flag projects as high priority, and the system surfaces related notifications while relegating lower-priority items to a separate space where they remain accessible but don't interrupt focus.

Why it matters

The shift from notification management to autonomous agent orchestration represents a fundamental change in how enterprises handle information overload. Rather than simply filtering alerts, Quick's persistent agents actively process and respond to routine work, potentially reducing the cognitive load on knowledge workers who currently manage hundreds of notifications daily. The AWS-based architecture also addresses enterprise concerns about security and auditability, with data remaining within corporate firewalls and all agent actions logged through CloudWatch and CloudTrail.

Enterprise security and compliance

Amazon emphasized that Quick maintains enterprise-grade security and privacy standards. All enterprise data stays within organizational firewalls, and conversations remain private and auditable through AWS CloudWatch and CloudTrail monitoring services.

The details were first reported by SiliconANGLE.