Replace legacy system
A legacy system does not retire because it is old, but when it costs your business more than it delivers.
Replacing a legacy system without stopping production
Software that has grown over many years often controls exactly the processes your revenue depends on. That makes replacing it risky: whoever replaces the backbone risks downtime. So it stays. After all, it works, the argument goes. What gets overlooked is how high the maintenance effort has become and how much speed every new requirement costs.
We replace legacy systems while they keep running. First, we reconstruct what your system does in business terms. Then we replace it building block by building block. It is only switched off once the replacement has been proven to do the same job.
From more than 35 years of working with grown systems, we know: the proof is the hard part, not the new build.
Less Technology. Better Business.
Why companies replace their legacy system with us
Understanding before change
Before a single line is replaced, we reconstruct the business logic of your legacy system from the code. Even when documentation is missing.
No downtime in operations
Your legacy system keeps running while the new system takes over module by module. Every result is continuously mirrored against the old one.
Operating costs that drop noticeably
Maintenance and licenses for the old platform disappear once it is switched off. New requirements can then be implemented much faster.
Vendor-neutral, no lock-in
We recommend the architecture that fits your case, not the one that fits our utilization. After the analysis, you decide freely.
Replace or modernize? How to decide
Not every legacy system has to go. Some can keep running on renewed technology, others can no longer support any new requirement. This decision is made before the project, not halfway through the rebuild. Skip it, and you end up modernizing a system that is going to be retired anyway.
| Your starting point | The path we recommend |
|---|---|
| The business logic still holds up, but the platform and frameworks are outdated. | Modernize the legacy system instead of replacing it: We renew code and runtime environment as part of a software modernization; the system stays. |
| The architecture no longer allows new business requirements. | Replace step by step: A new system takes over module by module, and the old one is switched off at the end. |
| Hardly anyone understands the system any more, and automated tests are missing. | Get clarity first: The Software Health Check assesses code, architecture and risk before you commit. |
| The structures are so tangled that even major refactoring can no longer fix them. | Replace in one go: Without a basis for further development, a new build is the more economical route. |
| There are no more security updates for the system, or new legal requirements cannot be mapped in it. | Replace, and with priority: Neither can be fixed permanently in the legacy system. |
For production-critical systems, step-by-step replacement is our standard approach. If a complete switch makes more sense, we say so openly, with reasoning you can pass on internally.
For a pure status assessment, the Software Health Check is often enough. If the system is to stay and be renewed, software modernization is the right place. Maintenance and further development after go-live are handled by a dedicated team.
What becomes possible after the replacement
Most initiatives on today's list fail not because of budget, but because of the architecture underneath. AI applications need access to clean data, partners need documented interfaces, analytics need a data model that can do more than day-to-day business. A legacy system delivers none of this, and no layer on top can make up for it. Replacing it lays the foundation.
Before you replace: understand what the legacy system really does
Replacement projects rarely fail because of the new technology. They fail because nobody can say for sure any more which rules are hidden in the old system.
Why nobody knows what is inside the legacy system any more
How widespread this is shows our study on technology efficiency (in German): 45% of IT decision-makers name outdated documentation as a cause of technical debt, 39% missing documentation. When the people who built the system retire, the knowledge leaves with them.
How we recover and safeguard the business logic
Today, this loss can be repaired. With Agentic Domain Discovery, we reconstruct the business logic from the source code with AI support and make it verifiable. This is not a promise: the more scattered the logic is in the code, the more remains brainwork. We classify what we find together with your business departments.
Your source code does not go to third-party servers. We run the analysis models in an isolated Trusted Zone, without training on your data.
In parallel, the safety net is created. We record today's system behavior as a reference state and automatically compare every change against it. That way you notice immediately when a rule gets lost, not only at the month-end close.
In a free consultation, we assess your starting point.
How a replacement works during ongoing operations
We most often replace legacy systems using the strangler pattern: new functions are built alongside the legacy system and go live one by one until nothing accesses the old one any more. No cut-over date on which everything has to go well at once.
What the new system looks like inside depends on the business domain, not the textbook. Whether clearly separated building blocks as in a hexagonal architecture or a lean new build as a custom software solution: this is decided in the target architecture, with a view to what your team can operate itself later on. For critical systems, an on-call team accompanies the conversion.
Inventory and target architecture
We read the code base, data flows and interfaces and walk through them using a concrete transaction, from the input screen down to the database. Whether COBOL on the mainframe, a grown AS/400 application or a monolithic .NET system from the early 2000s: architecture diagrams are often missing, and documentation is rarely up to date. The result is a cut plan: which business area moves when.
First module in parallel operation
We start with a building block that is used in production but is not the riskiest. Old and new run in parallel, and every result is checked against the recorded reference state. If something deviates, it shows up in the ongoing comparison, not only after the switch.
Take over module by module
The order follows value and risk, not the system architecture. Every module taken over gets automated tests before the next one begins. For large systems, this takes months to years. In return, operations remain stable throughout instead of being at stake over a single weekend.
Switch off the legacy system
Finally, no process accesses the legacy system any more, and we switch it off in a controlled manner. Parallel operation is a means of transition, not a permanent state: if the old system keeps running out of caution, the savings never materialize.
How can you replace a legacy system while keeping the business running? Our case studies give insight into projects in which grown structures became high-performing, future-proof systems.
-
To the referenceInsurance: Enterprise Architecture ManagementBanking/Insurance/FSIIT Consulting & StrategyIT ModernizationTo the referenceA Future-Ready IT Infrastructure for an Insurance Group
To the referenceAs-is analysis down to the code level, target architecture by business domain, transformation roadmap, rapid development methodology, formation of the EAM team
To the referenceA clear vision for each subject area, a specific EAM maturity level, transparent investment requirements, and sustainable team structures
-
To the NOW referenceNOW: National Organization for Change in Mobility: development of a data warehouse systemCloudData/Data PlatformsIT Consulting & StrategyTo the NOW referenceData foundation for nationwide charging infrastructure in Germany
To the NOW referenceCloud data warehouse for integration & analysis of many diverse data sources (AWS)
To the NOW referenceSolid architecture, single point of truth ensures data-based evaluation of charging station demand
-
To the NETZSCH referenceNETZSCH: Development of an IoT platformCloudData/Data PlatformsIoTTo the NETZSCH referenceUnified IoT platform for 3 business units, harmonization of existing IoT solutions
To the NETZSCH referenceIoT device connectivity, visualization software for data analysis, cloud infrastructure, operations
To the NETZSCH referenceQuick testing in the cloud infrastructure, fast integration of use cases such as predictive maintenance, process optimizations, etc.
-
To inCTRL referenceinCTRL Solutions: Modernization of the IoT platform for water treatment plantsCloudIoTIT ModernizationTo inCTRL referenceIoT & software modernization, integration of new functions
To inCTRL referenceData warehouse setup, integration of microservices, automated quality assurance, Continuous Integration & Continuous Deployment (CI/CD)
To inCTRL referenceImproved resilience, maintainability & further development capability of the platform
-
See Schöck Bauteile referenceSchöck components: Improvement of the requirements processIT Consulting & StrategyQuality EngineeringIT ModernizationSee Schöck Bauteile referenceImproved dimensioning software for the construction of load-bearing building components
See Schöck Bauteile referenceNew digital design approach, UX concepts, UI designs, user-centered focus
See Schöck Bauteile referenceHigher user satisfaction, better software with less effort
-
See BMW Group referenceBMW Group: Replacement of a production-critical legacy systemIT Consulting & StrategyIT ModernizationManufacturingSee BMW Group referenceIT modernization, replacement of a 20-year-old legacy system
See BMW Group referenceStep-by-step migration to a modern, flexible architecture & platform
See BMW Group referenceHigh stability & reliability, long-term scalability
-
See Bayernwerk referenceBayernwerk: Knowledge management via teamsCloudIT Consulting & StrategyIT ModernizationSee Bayernwerk referenceTeams app for service technicians
See Bayernwerk referenceUser-centered, intuitive UX/UI design
See Bayernwerk referenceIdentification & utilization of implicit knowledge within the company
-
See DEKRA referenceDEKRA: Modern enterprise architecture thanks to co-creationCloudIT Consulting & StrategyIT ModernizationSee DEKRA referenceOperational & technical harmonization of the legacy IT landscape
See DEKRA referenceEnterprise architecture as co-creation by the lead architects of all IT business units
See DEKRA referenceEA community worldwide for all operational units
-
See BMW Group referenceBMW Group: Remote software upgrade for vehiclesCloudCybersecurityIoTSee BMW Group referenceSoftware upgrades without the need to visit a service center
See BMW Group referenceBackend system for over-the-air communication with the vehicle, 24/7 support
See BMW Group referenceIT security, more comfort, on-demand provision of new features
What to look for in a provider for legacy replacement
Anyone who wants to replace a legacy system will find many providers with similar promises. Four questions separate those who can build new from those who also understand the old:
| Question for every provider | Our answer |
|---|---|
| How do they reconstruct the business logic when documentation is missing? | AI-supported code analysis and reference states instead of questions to people who are no longer with the company. |
| Have they already replaced production-critical systems, not just peripheral applications? | More than 800 large-scale systems and more than 10,000 person-years in high-end software engineering. |
| How do they prove that the new system does the same job? | Automated tests against a recorded reference state, checked in every phase. |
| Do they tie you to themselves or to a platform? | Vendor-neutral, with knowledge transfer in a mixed team. After the analysis, you decide who implements the plan. |
In a free consultation, we clarify whether replacing or modernizing is the right way.
Frequently asked questions about replacing legacy systems
What is a legacy system?
A legacy system is an application that has grown over many years, still controls important business processes but is no longer technically sustainable. Typical signs are outdated frameworks, hard-to-maintain code and missing interfaces. So this legacy software still works, but it causes rising costs and slows down new requirements.
How much does it cost to replace a legacy system?
The cost of a legacy replacement depends on the size, condition and criticality of the system, which is why we start with an analysis phase with predictable costs. Afterwards, you know the target architecture, effort and sequence and decide on that basis. Maintenance, licenses and specialist knowledge for the old platform disappear once it is switched off, which lowers operating costs permanently.
Can COBOL and mainframe systems be replaced too?
Yes, and it is the most common case in production-critical environments. The difficulty rarely lies in the language, but in the fact that the business logic has migrated over decades into programs, jobs and database procedures and nobody has the overview any more. The same applies to AS/400 applications and monolithic .NET or Java systems, which are technically younger but structurally just as tangled.
How long does it take to replace a legacy system?
The duration depends on system size and data volume: smaller applications are replaced within a few months, production-critical legacy systems need several years. The number of connected interfaces shifts the timeframe more than the amount of code. Because old and new run in parallel, you benefit from the first migrated modules long before the project ends.
What happens to the data from the legacy system during the replacement?
The existing data moves along, and it is verified: we reconcile data between the old and new system before a module takes over responsibility. Historical data is the more laborious part, because it has grown inconsistently over the years. That is why clean-up starts early and not just before the switch-over.
Which technologies and programming languages does MaibornWolff work with for legacy replacement?
We are not tied to any source technology: in replacement projects we encounter COBOL, Delphi, older Java and .NET applications, C/C++, PHP or Python. What matters is not the old language, but the target architecture. We migrate to the technology that fits the future architecture, often to container-based environments with Docker and Kubernetes, to PostgreSQL or to front ends with React and Angular.
Can newer software become a legacy system too?
Yes. Legacy is not a question of age or programming language, but of condition: hard-to-maintain code, outdated dependencies, missing knowledge in the team or an architecture that no longer fits the requirements. Even in a language that is modern today, legacy code builds up again over the years. A replacement is therefore never just a change of language.
Why MaibornWolff?
As one of the most innovative IT service providers with a great passion for AI, we focus entirely on the project business and individual software development - without our own products. To stay at the forefront, we continuously invest in our team of digital technology engineers and develop digital solutions that are well thought-out, efficient and reduced to the essentials.
Our principle: simplicity instead of complexity. We only develop what is really needed - tailor-made, useful and reliable. Our results speak for themselves. With over 800 large-scale systems and more than 10,000 person-years of experience in high-end software engineering, we are one of the few who can reliably implement even the largest and most complex IT landscapes. Thanks to close partnerships with leading hyperscalers, our customers operate their solutions in today's most modern and powerful environments.
Less technology. Better Business.