Successful transformation starts with understanding your current landscape and where change delivers the greatest business value. T-Systems assesses applications, infrastructure, dependencies, costs and risks to determine what to retain, consolidate, retire, migrate or modernize. Automated discovery, expert validation and AI-supported insights turn complexity into a prioritized roadmap with a clear business case.
It creates transparency across applications, infrastructure and dependencies while assessing business value, technical condition, cloud readiness, risks and modernization potential.
The outcome is a fact-based view of the current landscape together with recommended transformation paths, cost estimates, a business case and a prioritized roadmap for implementation.
AI-supported analysis can complement automated discovery and expert validation to process landscape information more efficiently, identify patterns and support decisions around migration and modernization.
No. Assessment should determine the appropriate path for each workload. Depending on business and technical requirements, that may include retaining, consolidating, retiring, migrating or modernizing applications.
Yes. Data sovereignty, security, regulatory requirements and governance should be considered alongside costs, technical feasibility and business value when determining target environments and transformation priorities.
Without sufficient visibility, organizations risk migrating unnecessary complexity, choosing unsuitable target environments or underestimating dependencies and costs. Assessment reduces uncertainty before major investments are made.
