Agentic Cloud Migration & Legacy Modernization
EY Global
Solution Overview
Building on EY's cloud transformation capabilities, the Agentic Cloud Migration & Legacy Modernization solution accelerates cloud migration and legacy modernization through AI-driven automation and Azure-native services. Leveraging Azure OpenAI Service, Azure AI Search, Azure Migrate, Azure DevOps, Azure Functions, Azure SQL, Azure Blob Storage, Azure Storage/Cache, Azure Virtual Machines, and Azure Container Registry, the solution streamlines discovery, assessment, modernization, migration, and optimization activities—helping organizations reduce migration effort, modernize legacy applications, and realize value from Azure faster.
Integrated Cloud Migration & Legacy Modernization Approach
• Discovery & Assessment: Identify migration and modernization opportunities using Azure OpenAI Service, Azure AI Search, and Azure Migrate. • Target State Design: Define a scalable Azure architecture aligned to business and technology objectives. • Foundation Establishment: Deploy a secure cloud foundation leveraging Azure Virtual Machines, Azure SQL, Azure Storage, and Azure Container Registry. • Execution: Accelerate migration and code modernization through Azure DevOps, Azure Functions, and AI-powered automation. • Optimization: Continuously improve performance, scalability, and operational efficiency through Azure-native monitoring, storage, and data services
Solution benefits
EY’s unified offering combines Agentic AI solutions for cloud migration and legacy modernization, leveraging intelligent AI agents to automate workflows and analyze complex data. This cohesive approach ensures a seamless transition to modern cloud environments while enhancing the efficiency of mainframe modernization efforts. Other benefits include:
• Faster migration timelines: Accelerated processes to reduce overall project duration. • Cost optimisation: Efficient resource utilization leading to reduced operational costs. • Quality assurance: High-quality, secure, maintainable, and scalable code generated from requirements. • Intelligent architectural transformation: Recommendations for optimal microservices architectures and reusable components. • Holistic system re-engineering: Comprehensive analysis of entire systems, including code and data dependencies.