Amazon unveils Quick Suite, an AI colleague built to rethink the future of work

In an era when consumer-facing AI tools dominate headlines but remain detached from secure enterprise systems, Amazon believes it has built the missing link: a workplace-ready AI assistant that combines the power of generative reasoning with corporate-grade privacy.

“We’ve all experienced how AI can transform our personal lives, but this same experience hasn’t been unlocked at work—yet,” said Swami Sivasubramanian, Amazon’s vice president of agentic AI in a blog post on the company's website. “Consumer AI solutions aren’t connected to all your business data. They don’t have access to the tools you need to get things done at work. And many organisations won’t even let you use them because they lack critical security and privacy features.”

That gap, he said, is what inspired Amazon Quick Suite, a platform meant to act as an AI teammate — capable of retrieving internal data, running analyses, writing reports, and even executing multi-system workflows securely inside an organization’s ecosystem.

Unlike popular consumer chatbots, Quick is wired directly into a company’s operational fabric. It connects to more than 50 data sources, from Adobe Analytics, Snowflake, and ServiceNow to AWS’s own Redshift and S3, and can integrate with over 1,000 apps through OpenAPI and Model Context Protocol (MCP). That means an employee can ask Quick to produce a market report, generate a customer service summary, or analyse campaign data — and it will pull from both internal databases and the web to deliver a cited, comprehensive response.

Inside the Agentic Core

Quick Suite operates through four key tools: Quick Index, Quick Research, Quick Sight, and Quick Automate. Together, they aim to turn raw enterprise data into insight and action.

Quick Research, described by Sivasubramanian as “the most accurate and reliable research agent on the market,” uses a blend of real-time web data and corporate repositories to answer complex questions. It even pulls live information from more than 200 trusted media outlets, including The New York Times, Washington Post, and Forbes.

In one internal test, Amazon’s Last Mile Delivery team used Quick Research to analyze the potential impact of new logistics legislation. What had once taken two weeks of manual research was distilled into a 30-minute, fully cited analysis.

“Quick Research delivered an in-depth assessment of how the legislation impacted other countries and partner organisations,” Sivasubramanian said. “That kind of speed and depth simply wasn’t possible before.”

Quick Automate, on the other hand, targets the burden of complex workflows that stretch across multiple systems — like reconciling invoices or onboarding employees. Amazon’s finance team now uses it to reconcile thousands of invoices each month, cross-referencing external and internal data automatically. Tasks that once required days of work and developer input can now be built by employees in hours.

Tested in the Real World

While Quick Suite is still in its early rollout phase, it has already been tested by tens of thousands of Amazon employees and several global clients. The results, the company says, speak for themselves.

Propulse Lab, a marketing automation firm, reported cutting customer service handling times by 80 percent, saving an estimated 24,000 hours annually. DXC Technology, which employs more than 120,000 people worldwide, plans to deploy Quick Suite companywide. Vertiv, a digital infrastructure provider, expects to increase adoption by 25 percent in 2026.

At Amazon’s own legal department, the impact has been just as striking. “This same task used to require many hours of outside counsel, research, and writing,” said Jessica Gibson, Amazon’s vice president and associate general counsel. She said her team now uses Quick Research to synthesise global compliance requirements “at remarkable speed,” allowing them to “stay agile while optimising both time and resources.”

Other clients have found similar advantages. Kitsa, a company that builds software for clinical trials, used Quick Automate to scan hundreds of web pages, completing research that once took months — in days — and at 91 percent lower cost.

Jabil, a global manufacturing leader, is using Quick to consolidate chatbots, unify data sources, and speed up regulatory research — changes expected to save $400,000 annually.

A New Relationship With Work

What Amazon is selling with Quick Suite is not just another productivity tool but a new relationship between humans and machines at work. It’s a move toward what AWS calls “agentic AI” — a model in which AI agents don’t just assist but actively perform multi-step tasks across software ecosystems.

Employees can interact with Quick via a web app or browser extensions in Chrome and Firefox, or directly within Microsoft Outlook, Teams, and Word. The goal is to embed AI into daily workflows so deeply that collaboration with machines feels as natural as messaging a coworker.

Inside Amazon, some teams are already pushing the limits. Natalie Fischbeck, who works in business development for Amazon’s Workforce Staffing team, built 39 customised AI agents in a single week using Quick.

“Quick has given me the opportunity to create an accessible hub of institutional knowledge that would otherwise be scattered,” she said. “We now have scalable, logic-based agents that track all our leads and solutions. Because they pull from our most recent emails and documents, they can provide dynamic updates almost instantly.”

Beyond Productivity

Amazon’s rollout of Quick Suite arrives at a time when generative AI is rapidly infiltrating the workplace but remains largely fragmented and insecure. The company is positioning Quick as the corporate alternative — a system that merges the conversational ease of consumer AI with the compliance and data governance large organisations require.

“Quick isn’t just helping people save time,” Sivasubramanian said. “It’s fundamentally changing our relationship with work.”

For Amazon, the goal is bigger than automation. Quick Suite, he argues, is about reclaiming human focus — stripping away repetitive tasks and letting employees think, create, and make decisions faster.

“It’s removing the busy work that used to consume valuable time and energy,” he said. “It brings together all the data, metrics, and institutional knowledge you need to make decisions and helps you act on them to drive outcomes.”

With Quick Suite, Amazon is betting that the next wave of workplace transformation won’t come from replacing humans with machines, but from giving workers — and their AI teammates — the tools to think together.