Flezi NEXT – AI-Powered Mainframe Modernization

FPT’s Enterprise Modernization Technology (EMT), powered by Azure OpenAI, helps enterprises modernize legacy mainframe systems such as COBOL, JCL, PL/I, RPG, and Assembler into modern, cloud-native applications built on modern architectures (e.g., Java, Python) and cloud-ready platforms.

By integrating Generative AI and Microsoft Azure capabilities, EMT enables organizations to analyze, document, refactor, test, and migrate legacy applications with up to 30% faster transformation speed, 40% lower cost, and 50% reduced migration risk compared to traditional approaches.

With automated assessment, AI-guided reverse engineering, migration automation, and testing validation, EMT provides a faster, smarter, and safer modernization journey from mainframe to cloud.

Who Benefits from EMT

CIOs and IT Leaders – Reduce technical debt, operational cost, and modernization risk. CTOs and Enterprise Architects – Adopt a scalable AI-powered modernization and re-architecture framework. Development and Migration Teams – Accelerate assessment, documentation, transformation, and testing. Cloud Transformation Specialists – Enable seamless migration to Azure IaaS, PaaS, or SaaS with automation and governance.

Key Challenges in Legacy Modernization

High maintenance costs and dependency on legacy skillsets – Rare expertise and high support effort. Incomplete documentation and knowledge loss – Outdated references increase modernization risk. Complex interdependencies across programs, data, and batch jobs – Manual analysis slows delivery and increases errors. High risk and uncertainty in large-scale migration – Limited automation, visibility, and consistency for cloud readiness.

EMT Solution Capabilities

EMT BrAIn – AI core platform coordinating knowledge assets and AI agents to support analysis, documentation reconstruction, transformation guidance, and testing acceleration. Integrated with Azure OpenAI and enterprise-grade LLM ecosystems (e.g., IBM watsonx). EMT X-ray – System assessment & reverse engineering by building asset inventory, defining migration strategy, and generating basic/detailed design documentation from existing systems. EMT Bridge – Application & data migration from legacy environments (COBOL, JCL, RPG, SAM/VSAM, DB2, IMS/DB) to modern stacks such as Java, ReactJS, and PostgreSQL. Includes middleware utilities and runtime libraries for IBM Mainframe, Fujitsu, and AS400/RPG. EMT Forge – Engineering transformation enabling reverse engineering to restructure business processes and forward engineering to redesign applications into microservices or cloud-native architectures. EMT vAIid – AI-driven testing automation including pattern testing, automated unit/integration testing, and comparison testing to validate equivalence between legacy and modern systems. EMT Run – DevOps & cloud operations platform for building, deploying, scaling, and optimizing infrastructure. Cloud-native ready (Azure, AWS, GCP) with monitoring, failure prediction, and continuous optimization.

Business Outcomes

Up to 30% faster modernization and refactoring through AI-driven automation. Up to 40% lower overall cost across assessment, migration, and validation. Up to 50% reduced migration risk with automated validation and consistency. Improved documentation accuracy through AI-assisted knowledge reconstruction. Higher reliability and governance with continuous controls enabled by the EMT platform.

Why FPT

With over two decades of experience in global legacy modernization, FPT has delivered successful transformation projects across banking, insurance, manufacturing, and telecom industries. EMT, powered by Azure OpenAI, provides an end-to-end modernization platform that helps enterprises transition confidently from mainframe to cloud-ready architectures with measurable gains in speed, cost, and reliability.

Next Steps

Accelerate your path to modernization with AI. Contact FPT to schedule a Proof of Concept (POC) and see how EMT, powered by Azure OpenAI, can transform legacy systems into intelligent, future-ready applications.