Amazon's AI work assistant gets a new name: AWS Quick

Amazon's AI assistant for the workplace, formerly called Amazon Quick, is now AWS Quick. Amazon is also launching its first brand campaign for it. The pitch is simple: unlike many AI helpers, this one was built only for work and has no consumer version.

What it does

AWS Quick is described as an AI workspace where teams use AI agents to research, analyze and act. An agent is an AI helper that carries out tasks for you. Quick works across the data and apps a company already uses, and Amazon says it watches for changes, surfaces what matters and acts on a user's behalf.

Amazon also says anyone can build agents, apps and automations by describing what they need in plain language, without filing an IT ticket. Whatever is built in a shared space becomes something the whole team can use.

Why the name changed

Amazon says the new name signals the enterprise security and governance that have been part of Quick from the start. Its argument is that many AI tools began as consumer apps and still serve personal and work use in one product. Quick, it says, was built for work from day one on AWS infrastructure.

The campaign runs in the United States and the United Kingdom on streaming TV, online video, social media and business publications. Companies named as users include 3M, BMW, Mondelez, New York Life and Southwest Airlines.

Privacy and security claims

These are Amazon's own statements, not independent findings. The company says:

• IT admins cannot access chat transcripts, and no one else can browse your conversations.
• Company data never leaves its environment and never trains someone else's AI models.
• Quick reads sensitivity labels on files and enforces existing permissions.
• It carries HIPAA, FedRAMP, SOC 2 and ISO 27001 certifications.
• Sharing of agents and knowledge bases needs approval, and every decision is logged.

What is not clear

The material gives no price. Amazon says users can download Quick and get started in minutes, and that companies should talk to their AWS account team about enterprise pricing plans. It also does not say whether the product itself has changed. The announcement is about the name and the campaign, so the rename appears to be a rebrand, not a new release.

Who it affects

The main audience is businesses that want AI tools for staff, especially those with strict rules about data and permissions. For a small team, the practical step is to ask about pricing and check whether the privacy claims match your own requirements.