AWS Finance reclaims hundreds of hours with Amazon Quick AI assistant

Amazon Quick, a generative AI assistant from AWS, is transforming how the cloud giant's own finance teams handle two grueling workflows: strategic portfolio scenario modeling and weekly business reviews. Before Quick, analysts spent up to six hours per customer manually extracting data from multiple sources, running models, and documenting findings. They could only deep-dive about a third of their strategic accounts in the available time. Now, a chat agent built on Quick connects directly to enterprise data (including Amazon Redshift), executes regression analysis, Monte Carlo simulations, and multi-factor scenario modeling in roughly 10 minutes per customer—while also surfacing risks that manual analysis missed. The team expanded coverage to their entire customer portfolio without sacrificing depth.

For the weekly business review ritual, Quick reduced preparation from a full Monday morning to just 10 minutes. Regional chat agents, connected through Quick's Flows feature, automate the entire pipeline: compiling data, analyzing trends, pulling customer anecdotes from sales systems, and generating leadership-ready talk tracks. The same finance professionals who once spent hundreds of hours a month on data compilation now focus on partnering with the business to drive revenue. The no-code, natural-language interface turns every finance analyst into a data analyst, and insights refresh automatically across regions and business units.