Reimagining Mainframe Applications with Accenture and AWS Transform

This article describes how Accenture and AWS use agentic AI and AWS Transform to reimagine mainframe applications, moving beyond incremental modernization to enterprise reinvention through automated discovery, enrichment, and forward engineering.

• AWS Transform automates code analysis and business rule extraction from mainframe systems using AI agents deployed to Amazon Bedrock AgentCore
• Accenture extends AWS Transform with automated mainframe discovery, multi-platform coverage (IBM zOS and Fujitsu GS21), and industry-specific knowledge cartridges
• Two forward-engineering pathways: cloud-native code generation via Kiro or low-code workflow generation via Pega Blueprint
• Reverse engineering extracts business logic; enrichment applies industry context; forward engineering rebuilds applications for modern cloud architectures
• Organizations can reduce modernization timelines by 30-40% through automation, with improved quality and reduced reliance on subject matter experts
• Selection between Kiro (high flexibility, engineering-intensive) and Pega Blueprint (rapid delivery, process-driven) depends on application complexity and business priorities

This integrated approach enables enterprises to extract business intent from legacy mainframe systems and rebuild them as cloud-native or low-code applications, reducing transformation risk and accelerating time to market.