This blog post was originally published on 2 March 2026 by PITSS, which is now Broadpin.
Many core applications were built when business models were far less dynamic. Today they create high risks and block strategy. Modernization is not an IT project — it’s a strategic lever.
Many of our core applications were built at a time when business models, processes, and customer requirements were far less dynamic. Today, these systems generate high operational risks, prevent scaling, and hold back strategic initiatives. Modernization is therefore not primarily an IT project — it is a strategic business lever.
The Core Argument
Modernizing legacy applications is not an optional IT upgrade — it’s a strategic business enabler to increase efficiency, reduce risks, and position the company for the future.
Accelerating Innovation & Time-to-Market
Monolithic legacy applications make changes extremely difficult. New features, digital services, or process changes can only be implemented with enormous effort.
Modern, modular architectures enable rapid responses to market demands — shipping new features in days instead of months.
Higher Data Quality & Better Decision-Making
Legacy systems create data silos and make analytics and AI-based evaluations difficult or impossible.
A modern data foundation enables better customer insights, faster decisions, and unlocks the potential of AI-driven automation.
Improved User & Customer Experience
Outdated interfaces reduce productivity and customer satisfaction, driving up training costs and leading to widespread workarounds.
New applications increase efficiency, adoption, and service quality — and give employees tools they actually want to use.
Reducing Operational Risks & Maintenance Costs
Legacy systems are built on outdated technologies and specialized knowledge that is increasingly hard to find. Outages or security vulnerabilities can immediately impact business operations. Furthermore, many business processes are still held up by manual workarounds or poorly integrated third-party systems — commonly known as Shadow IT.
Modernization increases stability, supportability, and compliance. Through automation, cloud readiness, and modern platforms, long-term costs decrease significantly.
Hidden Risk: Shadow IT — undocumented manual workarounds and ad-hoc integrations — can silently undermine compliance, data integrity, and business continuity. Modernization brings these into the light.
Future-Proof Scalability
Growth or new business models hit hard technical limits in old systems. Every expansion becomes an engineering struggle rather than a business opportunity.
Modern applications scale on demand and support international expansion without architectural rewrites.
The key tool is the Process–Application Fit Matrix. It helps assess how well a legacy application supports your current business processes along two dimensions.
Application Fit ↓ / Business Value → | High Business Value | Low Business Value |
Good Fit | Stable & Worth Keeping | Non-critical — can stay |
Weak Fit | Strategic Modernization Need | Opportunistic Modernization |
Business Value | Application Fit |
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An Important Addition
In highly grown applications, a third value appears in practice: “Obsolete” for Business Value, and “Non-existent” for Application Fit. Obsolete processes are still in the code but no longer lived. Non-existent fit means the digital capability simply doesn’t exist yet and must be built from scratch.
Business Value / App Fit → | Obsolete | Medium | High |
High | Remove | “Reskinning” — homogeneous architecture | Focus on Maintainability, Enhancement & Performance |
Medium | Remove | Can standard software take over? | Find the diamonds — create a Redesign |
Non-existent | - | Can standard software take over? | New development with deep data model integration |
Application Fit can address different components within the same software. Click each example to explore the diagnosis and goal:
In monolithic legacy applications, mapping software artifacts to an individual business process is not always easy — or even possible. The examples above show that the assessment can relate to different components simultaneously, and it is sufficiently complex to check how everything connects across the entire application.
You can only trust the code and the way users actually interact with it.
PITSS.CON is a software repository that examines and consolidates the implementation of the legacy application with its actual runtime usage by users, batch processes, and interfaces.
PITSS has been awarded twice by the BMBF for its unique approach of connecting static code with live runtime data.
Defined target processes can be efficiently captured and compared against actual usage patterns — step by step generating the valuable input your Process-Application Fit Matrix needs. Once assessed, PITSS.CON helps identify all artifacts belonging to each matrix segment and prepares them for modernization.
The PITSS.CON Promise
All of this — covering the data model, business logic, and every individual UI — without lengthy interviews, endless manual documentation, source code misinterpretation, or unnecessary burden on your business users.
With PITSS.CON, you can modernize your legacy application in a step-by-step, risk-free, cost- and benefit-optimized project — guided at every stage by the real picture of how your system is used.
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