“The more microservices that you have, the more agent-ready you are because you can at least start taking these components, and convert them into agent infrastructure,” says Asa Kalavade, vice president of AWS Transform to Bloomberg Intelligence senior technology analyst Anurag Rana. The pair discuss how agentic AI is accelerating legacy modernization across mainframe, NET, VMware and other enterprise workloads. Kalavade explains how AWS Transform combines deterministic methods with AI to understand old systems, generate modern code and shrink projects that once took years into far shorter timelines, while also making applications more cloud- and agent-ready. She notes that in just one year, AWS Transform has helped customers save more than 1.6 million hours of manual effort and analyze 4.5 billion lines of code as they migrate and modernize applications in the cloud.