When you open a laptop today, you’re greeted by a digital sprawl: hundreds of tabs, wikis, dashboards, spreadsheets, emails, and analytics tools all clamoring for attention. It’s the modern worker’s paradox: we have more information than ever, yet less time to make sense of it.
Amazon thinks it has an answer.
The company has unveiled Amazon Quick Suite, a new agentic AI application designed to reshape how work gets done. Quick is part search engine, part research analyst, and part automation powerhouse — a digital teammate that can read across your company’s internal repositories, summarize information, generate reports, and even automate workflows that normally take days.
“Quick is your AI teammate that collaborates with you to get work done,” Swami Sivasubramanian, Amazon’s Vice President of Agentic AI, wrote on the company’s website. “It’s the AI experience people love with the security and privacy enterprises trust.”
Unlike consumer AI tools that are often disconnected from enterprise data and lack the privacy protections companies demand, Quick sits directly inside the workplace. It integrates with popular business applications — from Adobe Analytics and SharePoint to Snowflake, ServiceNow, Databricks, and AWS Redshift — giving employees the ability to ask questions in plain language and get detailed, actionable answers instantly.
A New Kind of Work Companion
Think of Quick as the connective tissue between your company’s collective intelligence and its daily operations. Through a web interface or integrations into Office 365, Chrome, and other platforms, workers can chat with Quick to research a topic, automate tasks, or generate data visualizations.
Sivasubramanian describes it as “a fully featured generative AI experience for work,” powered by enterprise-grade security that ensures user data isn’t used to train models.
Quick has been battle-tested by tens of thousands of Amazon employees and a growing number of enterprise customers. Early trials suggest that projects that once consumed entire workweeks can now be completed in minutes.
For instance, Propulse Lab, a marketing automation company, used Quick to streamline customer service workflows and cut ticket handling time by 80 percent — saving an estimated 24,000 hours annually. DXC Technology plans to roll Quick out to 120,000 users, while Vertiv will expand its usage by 25 percent next year.
How Quick Works
The platform is built around modular tools that bring data, research, and automation under one roof.
Quick Index and Spaces let users securely connect and organize data from multiple sources. With over 50 built-in connectors and OpenAPI/MCP integration that links to more than 1,000 third-party apps, Quick makes it simple to pull context from scattered systems into shared spaces for collaboration.
Once connected, users can interact through Quick Chat, asking it to write reports, emails, or analyses — or even train personalized agents that write in the company’s tone or follow existing style guides.
For deeper data analysis, Quick Sight acts as a next-generation business intelligence tool. Unlike traditional dashboards limited to structured data, it can parse unstructured content like PDFs, memos, and emails. A marketer, for example, can ask Quick how a campaign is performing and receive an immediate, data-backed summary — no spreadsheets required.
And when the task demands more depth, there’s Quick Research, a dedicated AI agent that scans both internal data and real-time public sources — including outlets like The New York Times, The Washington Post, and Forbes — to produce comprehensive, cited reports.
“Quick Research delivered an in-depth analysis in 30 minutes that previously took multiple team members two weeks,” Sivasubramanian said, referring to Amazon’s Last Mile Delivery team, which used the tool to assess new legislation impacts across countries.
“Quick Research enabled true self-service insight generation and rapid proof-of-concept development, cutting effort by more than 90%,” said Cris Gutierrez, Senior Program Manager at AWS.
From Busywork to No-Work
Beyond research, Quick introduces Quick Flows and Quick Automate, tools that handle repetitive and complex tasks alike.
Quick Flows allows employees to automate weekly routines like status reports or meeting prep using simple prompts. A program manager at AWS used it to compile Asana project updates and generate executive summaries, saving several hours each week.
For more demanding workflows, Quick Automate steps in. It coordinates hundreds of steps across systems — from processing insurance claims to onboarding new employees — all through natural language.
Amazon’s finance team now uses Quick Automate to reconcile thousands of invoices monthly, pulling data from internal systems and external transportation management platforms. The process, which once required weeks of development work, now scales across teams in days.
Startups are catching on too. Kitsa, a company that accelerates clinical trials, used Quick Automate to parse hundreds of trial sites — cutting analysis time from months to days and saving 91 percent in costs. “Compared to similar offerings like Manus and ChatGPT Operator, we achieved the highest accuracy and data coverage for our use case,” said Rohit Banga, Kitsa’s co-founder and CTO.
Transforming the Way Work Feels
The promise of Quick isn’t just about saving time — it’s about redefining what productivity feels like.
For Amazon’s legal and compliance teams, Quick Research now condenses complex regulatory updates into digestible reports, replacing hours of outside legal work. “This same task used to require many hours of outside counsel, research, and writing,” said Jessica Gibson, vice president and associate general counsel at Amazon. “By using Quick Research, our team can stay agile while optimizing both time and resources.”
At Jabil, a global manufacturing leader, employees are using Quick to research regulatory updates and automate account collections, with projected savings of $400,000 annually.
“The multi-tier AI architecture powered by Quick consolidates chatbots and information sources, increasing our manufacturing speed and flexibility,” said May Yap, Jabil’s CIO. “Quick Research provides timely expert and regulatory updates across key industries. As part of our AI transformation, these capabilities are helping us drive efficiencies and operational excellence.”
Even individual employees are building their own agents. Natalie Fischbeck, who works in Amazon’s Workforce Staffing team, built 39 custom AI agents in a week to centralize institutional knowledge.
“Quick has given me the opportunity to create an accessible hub of institutional knowledge that would otherwise be scattered,” she said. “We see enormous benefit from Quick Research for our Legal, Public Policy, and Compliance departments. From a simple prompt, the agent synthesizes complex compliance requirements for specific geographic regions and provides recommendations with remarkable speed.”
The Age of the AI Teammate
What’s striking about Amazon Quick Suite is that it doesn’t just automate tasks — it rewires how humans and machines collaborate. The software doesn’t aim to replace workers; it aims to remove the cognitive friction of work itself.
In a world of endless notifications and overflowing dashboards, Quick brings order, context, and clarity — not by giving you another app, but by connecting all the ones you already use.
“It’s removing the busy work that used to consume valuable time and energy and gives us the time back to focus on what matters,” Sivasubramanian said.
If Amazon’s internal results are any indication, the future of work might not just be faster — it might actually feel lighter.