LTM AI-Powered Mainframe Modernization on AWS with Transform & Kiro

Organizations running critical Mainframe and AS400 applications face increasing challenges from technical debt, limited legacy skills, rising operational costs and the need for faster business innovation. LTM's Application Rebuild for Mainframe and AS400 Modernization helps enterprises transform legacy systems into modern, cloud-native applications on AWS. Leveraging LTM's proven 6R modernization framework, this offering focuses on the Rebuild (Re-architect) approach, enabling organizations to reverse engineer legacy applications and forward engineer them into scalable microservices-based architectures aligned with AWS cloud-native best practices. The solution combines:

AppIQ – LTM's AI-enabled reverse engineering accelerator that transforms Mainframe and AS400 code into comprehensive documentation, business process maps, domain models, and modernization-ready user stories. AWS Transform – Accelerates large-scale application modernization through automated discovery, dependency analysis, migration planning, and modernization workflows. AWS Kiro – Enables AI-assisted software engineering, accelerating cloud-native application development, code generation, testing, documentation, and modernization execution. Amazon Bedrock and Generative AI Services – Support code analysis, business rule extraction, documentation generation, and modernization productivity.

The engagement follows a structured assessment methodology covering discovery, evaluation, validation, and modernization recommendations, resulting in a comprehensive business case, migration roadmap, architecture blueprint, timeline, and cost model. The rebuilt applications leverage AWS-native services such as Amazon Aurora, Amazon RDS, AWS Lambda, Amazon S3, AWS Glue, CI/CD pipelines, and enterprise-grade security controls to improve agility, scalability, resiliency, and operational efficiency. This offering is ideal for enterprises seeking to reduce Mainframe dependency, modernize business-critical applications, improve developer productivity, and accelerate digital transformation while minimizing migration risks through an iterative, wave-based delivery approach.