Legacy application modernization

Legacy application modernization updates business-critical applications that depend on outdated or unsupported technologies. T-Systems helps preserve valuable business logic while replacing technical constraints with supported, maintainable technologies that are easier to secure, integrate and evolve.

The service targets enterprise applications whose operating systems, frameworks, programming languages or architectures are aging or no longer supported. They typically add to technical debt, struggle to scale with growing workloads or keep pace with changing core processes, while increasing maintenance costs due to legacy code. Mainframe applications are addressed through T-Systems' dedicated mainframe application modernization offering.

Many older applications contain years of proven business logic and process knowledge. Modernization can retain this value while reducing technology risks, maintenance effort and dependency on hard-to-find specialized expertise. The right approach depends on business value, technical condition, dependencies and future requirements.

• Simplifying complex analysis: Analyzing complex application landscapes can be time-consuming and costly. T-Systems AI tools such as AI Engineer accelerate application, dependency, and architecture analysis, helping define target architectures faster.
• Increasing code transformation accuracy: AI supports code translation and modernization, while experts validate and refine outputs using business and technical knowledge.
• Accelerating testing: AI automates test case creation and execution, while teams ensure governance, quality, and alignment with business requirements.

Modernization can reduce maintenance effort and technology risk, improve security and maintainability, broaden access to available development skills and make future changes faster. It also creates a stronger foundation for integration, automation and continued digital innovation. 

As a Deutsche Telekom company, T-Systems combines broad cross-industry experience with strong enterprise application, cloud and DevOps expertise. With access to advanced AI resources and infrastructure, AI Engineer capabilities already used in 120+ active projects, and strong industry partnerships, T-Systems can accelerate transformation while experienced teams manage architecture, quality and risk.