Inside Amazon’s Quick Suite AI Platform for Businesses

Enterprise AI tools are emerging even more as technology companies compete to move beyond consumer chatbots into workplace applications. 

Amazon Web Services (AWS) is now entering this market with Quick Suite, a platform that connects to company data repositories and business applications to automate workflows and generate insights.

The system operates as what AWS calls an “agentic AI application”, meaning it takes actions across multiple systems rather than simply answering questions. 

Quick Suite connects to more than 50 business applications including SharePoint, Snowflake, Google Drive and ServiceNow, as well as AWS services such as S3 and Redshift for data storage and analysis.

Swami Sivasubramanian, Vice President (VP) of Agentic AI at AWS, says: “We’ve all experienced how AI can transform our personal lives, but this same experience hasn’t been unlocked at work – yet. 

“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 consumer offerings, because they lack critical security and privacy features.

“That’s why we invented Amazon Quick Suite. 

“It’s the AI experience people love with the security and privacy enterprises trust. Quick is your AI teammate that collaborates with you to get work done.”

How Quick Research handles complex analysis

The platform has been tested by tens of thousands of Amazon employees and dozens of customers before its commercial release. 

These trials show organisations are deploying Quick Suite across departments including legal, finance, marketing and operations.

Quick Research, one component within the suite, tackles what AWS describes as complex research assignments. 

The feature analyses company data and public internet sources, including content from more than 200 outlets such as The Associated Press, The New York Times and Forbes. 

All results include citations for verification.

Amazon’s Last Mile Delivery team used Quick Research to assess how legislation affected operations across different countries in 30 minutes, work that previously took multiple team members two weeks. 

Jessica Gibson, VP and Associate General Counsel at Amazon, uses it for legal and compliance departments tracking regulatory requirements across jurisdictions.

“This same task used to require many hours of outside counsel, research and writing,” she says.

Success stories across multiple industries from using Amazon Quick Suite

Quick Automate coordinates processes across enterprise systems using natural language instructions or existing documentation. 

Amazon’s finance team uses this to reconcile thousands of invoices monthly, pulling data from external transportation management systems and cross-referencing with internal systems for cashflow forecasting.

Kitsa, a firm building software for clinical trials, deployed Quick Automate to analyse websites for trial information. 

As a result, the company completed work in days rather than months with a 91% cost saving. 

Quick Flows creates automated workflows for routine tasks. 

Robbie Wright, a Senior Product Marketer at AWS, uses it to draft monthly business reviews combining metrics from Quick Sight, campaign performance from Adobe Analytics and content from emails and documents.

“I can now complete these projects 90% faster, and the quality of my reports has improved dramatically because I spend less time chasing numbers and more time providing my own insights,” he says.

Propulse Lab, a marketing automation company, used Quick to streamline customer service workflows, reducing average ticket handling time by 80%. 

The firm now predicts annual savings exceeding 24,000 hours when the workflow expands.

Additionally, DXC Technology, which provides information technology services, plans deployment across more than 120,000 users. 

Furthermore, Jabil, which provides engineering and manufacturing solutions, expects to save approximately US$400,000 annually through automations in account collections and quote submissions.

May Yap, Chief Information Officer (CIO) at Jabil, says: “The multi-tier AI architecture powered by Quick consolidates chatbots and information sources, increasing our manufacturing speed and flexibility.”