At its annual PegaWorld® conference, enterprise AI software provider Pegasystems Inc. announced the integration of its Pega Blueprint AI™ application design agent into Amazon Web Services (AWS) Transform to accelerate legacy mainframe modernization. This collaborative, single-interface solution targets the notoriously complex, high-risk off-ramp from outdated COBOL systems, which historically leaves organizations trapped in manual, multi-year discovery phases or restrictive “lift-and-shift” migrations that simply duplicate past structural inefficiencies in the cloud. Under this unified framework, AWS Transform seamlessly extracts and documents legacy business rules, data models, and undocumented process logic directly from the core COBOL code. Pega Blueprint AI then immediately ingests this parsed data, utilizing generative AI augmented with enterprise best practices to autonomously build future-state, cloud-ready application architectures.
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This automated lifecycle significantly compresses digital transformation timelines, allowing enterprises to rapidly replace decades of technical debt with agile, governed agentic workflows. Emphasizing the operational philosophy driving this collaboration, John Higgins, chief of client and partner success at Pega, stated: “Modernizing core systems isn’t just about moving old code to the cloud – it’s about reimagining how work gets done. By embedding Pega Blueprint AI directly into the time-tested AWS Transform analysis capability, we’re removing friction from the most painful stages of modernization and helping enterprises finally move from legacy COBOL to intelligent, cloud‑ready applications faster and with greater confidence.” Currently available within the AWS Transform platform at no additional cost to existing clients, this joint capability bridges the gap between infrastructure legacy dependencies and the modern requirements of scalable corporate automation.