ROI Calculator: Modernization vs. Continued Operation

Modernization makes sense when legacy maintenance costs rise more than 10% per year, when developers for the old technology are hard to find, when the software limits your business, or when security risks exist. Break-even typically occurs within 12–30 months.

Legacy systems get more expensive due to: fewer skilled developers available (Delphi, COBOL, etc.), growing technical debt, compatibility problems with new infrastructure, rising security requirements, and more workarounds for missing features.

Modern software is faster, more stable, and easier to use. Staff complete tasks in less time, downtime drops, and new features can be added faster. A typical productivity increase of 10–25% translates directly into saved working hours.

No. We recommend a phased approach: modernize the most critical modules first, use the Strangler Fig pattern for gradual migration, and run the old and new systems in parallel while phasing out the old one. This limits risk and spreads the investment across budget periods.

Key risks include incomplete requirements analysis, data migration issues, and underestimating complexity. We reduce these risks through: a paid discovery phase, step-by-step migration, parallel operation, and automated testing. A 20% budget buffer is recommended.

The calculator gives a first estimate. Actual legacy cost growth and modernization costs vary by technology, system complexity, and company size. For a reliable figure, we recommend a free initial consultation including a system review.

Without modernization, risks grow: maintenance costs rise, security gaps appear, qualified staff become harder to find, users grow frustrated, and the system falls behind the market. The longer you wait, the more expensive the migration becomes.

No. We recommend the Strangler Fig pattern: new modules are built alongside the legacy system and gradually replace it. This keeps operations running, limits risk, and lets you spread costs across budget periods. The modules with the highest maintenance costs are replaced first.

Data migration is part of every modernization project. We review existing data structures, clean and convert the data for the new system, and make sure nothing is lost. Automated migration scripts and validation tests ensure a complete and accurate transfer.

Through gradual migration using the Strangler Fig pattern, a paid discovery phase to assess the current state, parallel operation of old and new systems during the transition, and automated testing and monitoring. A 20% budget buffer is recommended. This reduces risk step by step and keeps you in control throughout.