AI Powered IBM i Application & Data Modernization Implementation for Microsoft Azure
Fresche Solutions
This professional services implementation delivers a fully modernized application and data foundation for Microsoft Azure using Fresche X-Modernize AI, an automation platform purpose built for IBM i modernization.
X-Modernize AI helps IBM i organizations move confidently to Microsoft Azure by converting legacy RPG and Synon applications into modern Java and transforming DDS based databases into SQL native schemas.
The service results in production ready, functionally equivalent workloads aligned to Azure architectures.
Using X-Modernize AI, Fresche enables customers to: • Deploy applications on Azure App Service, Azure Kubernetes Service (AKS), or Azure Virtual Machines • Integrate with Azure DevOps and GitHub to support CI/CD pipelines • Migrate modernized data to Azure SQL, SQL Server, or PostgreSQL on Azure • Enable analytics using Microsoft Fabric, Azure Synapse, and Power BI • Maintain governance and security using Microsoft Entra ID and Azure Policy
This service is delivered by Fresche experts and focuses on implementation outcomes rather than assessment or proof of concept.
What the Service delivers: A fully implemented modernization of IBM i applications and databases, delivered using AI powered automation and aligned to Microsoft Azure platforms and services.
Scope of work: • RPG and Synon to Java application transformation • DDS to SQL (DDL) database transformation • Azure aligned application and data architectures • CI/CD readiness with Azure DevOps and GitHub • Analytics enablement with Microsoft Fabric, Synapse, and Power BI • Security and governance alignment with Entra ID and Azure Policy
How the engagement works: A production ready modernization outcome is delivered remotely following a structured implementation approach:
- Environment review and scoping
- AI powered application and data transformation using X-Modernize
- Azure ready validation and deployment preparation
- Knowledge transfer and optimization guidance
Business Value outcomes: • Reduced modernization risk versus manual rewrites • Azure ready applications built on modern, supported languages • SQL based data structures compatible with Azure analytics services • Improved maintainability and developer productivity • A scalable foundation for continued Azure adoption