

with a Rail-based Transportation Company
Modernizing Claims and Policy Administration with Mainframe Migration and AI-Led Process Redesign
A major North American rail freight company faced application performance issues caused by latency between its Florida-based mainframe and Azure-hosted applications, affecting business operations. Ensono and Microsoft developed a Cloud Connected Mainframe for Azure solution to relocate the mainframe to an Azure-adjacent facility in Virginia, designed to deliver sub-2.5ms latency. Combining flexible managed services with database and application modernization, the solution supports redesigned production and disaster recovery environments and creates a foundation for integrating mainframe data with Microsoft Fabric and Azure AI Foundry.