Case Study
Modernizing ERP for Speed, Scale and Resilience
A global industrial gases and services company needed to modernize a legacy ERP environment into a configurable, scalable digital platform. Infosys introduced an AI-first engineering approach combining cloud-native architecture, automation and GitHub Copilot to accelerate development, testing and deployment while improving software resilience and operational efficiency.
Key Challenges
Scaling Across Diverse Markets
The legacy environment needed to support multiple countries, currencies and organizational structures while enabling greater standardization.
Modernizing a Complex Technology Estate
Fragmented and outdated technologies limited scalability, maintainability and the ability to adopt a consistent cloud-native architecture.
Accelerating Delivery and Automation
Manual build, testing and deployment activities increased effort and slowed the rollout of changes across markets.
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Talk To ExpertsThe Solution
Building a Cloud-native ERP with AI-first Engineering
Modernized Application Architecture
- Migrated legacy components to a .NET Core 8 containerized backend to improve performance and scalability.
- Shifted business logic from stored procedures to microservices, improving modularity and maintainability.
- Adopted Amazon EKS and event-driven architecture to create a more flexible and resilient platform.
AI-assisted Engineering
- Integrated GitHub Copilot into development workflows to support code generation, debugging and modernization.
- Applied AI across legacy-code analysis, documentation, framework migration and unit-test generation.
- Extended Copilot into code review, optimization and Infrastructure-as-Code development to improve engineering productivity.
Automated and Secure Delivery
- Built automated delivery pipelines using Azure DevOps, Terraform and Infosys automation capabilities.
- Increased automation across functional testing, builds, security checks and deployment.
- Embedded quality gates, vulnerability scanning and security controls into the engineering lifecycle.
From Legacy ERP to an AI-ready Digital Core
- AI-assisted engineering accelerates modernization while keeping development workflows governed and repeatable.
- Cloud-native microservices create a more configurable foundation for supporting different markets and business requirements.
- Automation across build, test and deployment reduces manual effort while strengthening the speed and resilience of software delivery.
Business Outcomes
~10 %
effort optimization during the build phase
~81%
savings in deployment effort
~US$14 K
estimated monthly infrastructure savings
~8%
effort optimization during testing
Building a Scalable Foundation for Continuous Modernization
The transformation establishes a configurable, cloud-native ERP foundation designed for greater scale, maintainability and operational efficiency. By combining modern application architecture with AI-assisted engineering and automated delivery, the organization can accelerate development while improving software resilience. The approach also creates a repeatable foundation for continued modernization as business requirements, markets and technologies evolve.
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