Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick | Amazon Web Services

https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/07/13/21151.png

This guest post is co-written by Raphael Bres, Robert Iordache, Anca Andone, Ioana Millon (Ploesteanu) of Tradeshift and Roy Yung of AWS

Tradeshift is an AI-powered accounts payable (AP) and e-Invoicing compliance platform serving buyers and sellers in more than 70 countries, with a cloud-based network that processes millions of transactions. We serve both sides of a marketplace, buyers and sellers, so our analytics needs are different from most companies. When our in-house business intelligence (BI) tool couldn’t handle our growing data volumes and customer expectations, we switched to Amazon Quick.

Amazon Quick is an agentic AI workspace that connects to all your applications, tools, and data. It includes multiple features such as chat agent for natural language Q&A over your business data, Flows for automating multi-step workflows without coding, and Research for producing comprehensive, long-form analytical reports from multiple sources. These capabilities are built on AWS with enterprise-level...

Copyright of this story solely belongs to amazon.com. To see the full text click HERE

Read more

https://cdn1.expresscomputer.in/wp-content/uploads/2025/09/03095336/EC_Partha_Protim_Mondal_Berger_Paints_750.jpg

The new economics of enterprise AI with Berger Paint’s Partha Protim Mondal

For nearly two decades, enterprise technology followed a familiar financial logic. Virtualisation reduced infrastructure footprints, cloud shifted capital expenditure to operating expenditures, automation streamlined repetitive tasks. Therefore, each successive technology wave carried the promise that efficiency would eventually outweigh cost. AI, however, has disrupted that equation. Instead of simplifying enterprise