AWS unveils Amazon Quick desktop AI assistant for seamless cross-app workflows

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Amazon launches always-on AI assistant to transform how teams work across tools

In a move aimed at improving workplace productivity, Amazon Web Services has introduced a new desktop version of its AI assistant, Amazon Quick, designed to work across applications, tools, and data systems.

The new desktop app connects directly with local files, calendars, emails, and commonly used workplace tools, allowing it to understand user context and deliver more personalised support. Unlike many AI tools that operate within limited ecosystems, Quick is built to function across platforms such as Slack, Teams, Outlook, Gmail, Salesforce, ServiceNow, Asana, and Jira.

The assistant can automate workflows by pulling data from browser-based tools, analysing it using scripts, and generating outputs in a single request. It also builds a “long-term memory” by learning from user interactions, creating a personalised knowledge graph that improves over time.

Quick is designed to move beyond reactive AI. It runs continuously in the background, monitoring tasks and surfacing relevant information when needed. For example, before a meeting, it can automatically gather related documents, messages, and notes without user prompts.

The platform also introduces shared Spaces, where teams can collaborate through dashboards, automations, and knowledge sharing. It ensures that insights and workflows benefit the entire team.

Alongside the desktop launch, Amazon has rolled out new features. Users can now build apps, dashboards, and web pages using natural language, generate documents, presentations, and images instantly, and access Quick within tools like Microsoft 365. Integration support has also expanded to include Google Workspace, Zoom, Airtable, Dropbox, and Microsoft Teams.

Several global companies, including 3M, GoDaddy, AstraZeneca, BMW, Mondelēz International, NFL, and Southwest Airlines are already adopting the tool.

“Amazon Quick has fundamentally changed how we operate—how we make decisions, execute strategies, and respond to opportunities,” said David C. Gregorat of New York Life.

Early results show strong efficiency gains, with Amazon Books reducing document preparation time by 80% and engineering teams cutting factory test times by 67%, while 3M sales teams save over 5 hours per week.

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