Quick Suite: Inside Amazon’s Agentic AI Revolution

Enterprise AI solutions are gaining momentum as technology providers push beyond consumer-facing chatbots into enterprise-grade tools. 

Amazon Web Services (AWS) has entered the space with Quick Suite, a platform designed to integrate with organisational data repositories and business applications to streamline workflows and deliver actionable insights.

Positioned as an “agentic AI application”, Quick Suite goes beyond conversational responses, executing tasks across multiple systems to drive productivity.

The platform integrates with more than 50 enterprise tools, including SharePoint, Snowflake, Google Drive and ServiceNow, alongside AWS services such as S3 and Redshift for robust 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 was trialled by tens of thousands of Amazon employees and a select group of enterprise customers ahead of its commercial launch.

Testing indicates that organisations are deploying Quick Suite across departments such as legal, finance, marketing and operations.

One component, Quick Research, addresses what AWS refers to as complex research tasks.

The tool analyses both internal company data and public internet sources, drawing from more than 200 outlets including The Associated Press, The New York Times and Forbes, with all findings accompanied by citations for easy verification.

Amazon’s Last Mile Delivery team used Quick Research to evaluate how legislation impacted operations across multiple countries in just 30 minutes – a process that previously required several employees and two weeks to complete.

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 orchestrates processes across enterprise systems using either natural language commands or existing documentation.

Amazon’s finance team leverages the tool to reconcile thousands of invoices each month, extracting data from external transportation management systems and cross-referencing it with internal platforms to support cashflow forecasting.

Kitsa, a software developer for clinical trials, implemented Quick Automate to scan and analyse websites for trial information. This enabled the company to complete tasks in days instead of months, achieving a 91% reduction in costs.

Quick Flows builds automated workflows to handle routine tasks.

Robbie Wright, Senior Product Marketer at AWS, uses the feature to prepare monthly business reviews by integrating metrics from QuickSight, campaign performance data from Adobe Analytics, and content sourced 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, leveraged Quick to optimise customer service workflows, cutting average ticket handling time by 80%.

The company projects annual savings of more than 24,000 hours as the workflow scales.

DXC Technology, a global IT services provider, is preparing to roll out Quick to more than 120,000 users.

Meanwhile, Jabil, a leader in engineering and manufacturing solutions, anticipates saving approximately US$400,000 each year 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.”