AWS described how Tradeshift moved from a legacy business intelligence setup to Amazon Quick with agentic AI capabilities. The company reported query response times up to 30 times faster, a 40 percent reduction in total cost of ownership, and embedded analytics that now generate revenue.
The case study shows how vendors are positioning agentic analytics: not just as a chatbot on top of data, but as a way to turn reporting workflows into guided, interactive products. For a business user, the promise is less waiting for dashboards or analyst support.
The numbers are company-reported and may not generalize to every deployment. Data quality, governance, and integration work still determine whether agentic BI succeeds. The broader signal is clear: analytics tools are being redesigned around questions and actions, not only static reports.