Amazon Web Services has rolled out a desktop version of its AI assistant, Amazon Quick, aiming to simplify how people work across different apps, files, and daily tasks.
The assistant connects with popular tools like Google Workspace, Microsoft 365, Salesforce, Zoom, Slack, and Jira, making it easier to access and use information without jumping between multiple platforms. The idea is to bring everything into one smooth workflow.
Quick runs directly on the user’s device and stays active in the background. As it observes emails, calendars, documents, and other activity, it gradually builds context, allowing it to offer more relevant help over time.
Company leaders say the goal is to remove the barriers created by disconnected software systems. Instead of being tied to a single platform, Quick is designed to work across different ecosystems—whether someone prefers Gmail or Outlook, Slack or Teams.
One of its core features is a “personal knowledge graph,” where it organises documents and interactions to better understand an organisation’s data. This helps the assistant generate more accurate responses and improves its ability to complete tasks as it learns from user behaviour.
Quick can also handle complex workflows that involve multiple tools. For example, a user can ask it to pull data from a web system, process it using a local script, and place the results into a document—all in one go.
AWS says this marks a shift from AI tools that simply respond to prompts to assistants that actively support users throughout the day. Since Quick is always running, it can highlight important documents, flag scheduling issues, and even prepare meeting context without being asked.
The desktop app also adds creative features, allowing users to generate presentations, dashboards, documents, and images directly within the interface. There’s even a preview feature that lets users build custom apps and dashboards using simple natural language, with live business data built in.
Integrations are continuing to grow, with deeper connections to Microsoft 365 apps like Outlook, Word, Excel, and PowerPoint, along with support for tools such as Airtable, Dropbox, and Microsoft Teams.
AWS has also stressed that any data processed by Quick remains private and is not used to train external AI models, an important point for businesses concerned about data security.
Overall, the launch reflects a broader shift in the enterprise world, where companies are looking for AI tools that can work across multiple systems while still keeping data secure and under control.
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