Your IT works—but is it holding you back? Learn how to identify technical debt in your company, what risks legacy IT landscapes pose, and why IT modernization is increasingly becoming a strategic necessity for many companies.
Table of Contents
1. What Is Technical Debt? (Definition & Simple Explanation)
2. Examples of technical debt: How can you recognize it in everyday business operations?
3. Why Does Technical Debt Become a Business Risk?
4. Stagnation in IT: Why Don’t Many Companies Reduce Their Technical Debt?
5. How can you reduce technical debt?
6. Conclusion: Reducing technical debt means regaining your ability to act (more effectively).
Key Points
Technical debt arises from sprawling IT landscapes with complex dependencies, a lack of integration, and manual processes. Many companies don't realize the impact until they can no longer implement new business requirements quickly.
- Technical debt slows companies down: It drives up operating costs, hinders innovation, and affects the speed, decision-making ability, and competitiveness of the entire company.
- AI is increasing the pressure to modernize: Business units are increasingly expecting AI-powered processes and modern digital services. However, many legacy systems are not technically designed to support these.
- Stagnation often arises for understandable reasons: day-to-day operations, a lack of transparency, and unclear priorities prevent many companies from implementing structured modernization.
- IT modernization begins with transparency: By systematically identifying legacy IT systems, organizations can prioritize risks and actions and manage the modernization process step by step.
Your IT works, but it's holding you back.
You may be familiar with this from your day-to-day work in IT: New requirements pile up, projects take longer than planned, and your IT team spends an ever-increasing amount of time keeping tightly intertwined systems running. The root cause of this is often what’s known as technical debt.
At the same time, expectations for IT are rising: Business units expect digital processes, the use of AI to boost efficiency, and rapid implementation of new business requirements.
The Lünendonk study, published in 2025, also illustrates just how urgent the need for action has become:
80% of the CIOs and IT managers surveyed plan to focus their investments on IT modernization over the next two years.
But how can you identify technical debt in everyday work? What risks does it pose for companies? And how can you get started on modernizing complex system landscapes?
What Is Technical Debt? (Definition & Simple Explanation)
The term " technical debt" is often reduced to simply meaning poor or outdated code. For companies, however, this definition usually falls short. We consider the following definition to be more accurate:
“Technical debt consists of technical, organizational, and procedural legacy issues that have accumulated over time. They worked well in the past. However, in the long run, they hinder change, integration, and innovation—especially when new market demands clash with outdated structures within the company.”
Legacy technical issues become a problem when they affect not only IT but also the speed, costs, and innovative capacity of the entire company.
Examples of Technical Debt: How Can You Spot It in Day-to-Day Business Operations?
Technical debt often doesn’t start with a bad decision, but with a pragmatic solution. A system remains in use longer because it runs stably. An interface is built on short notice because a project deadline must be met. A pilot project continues to be used in production even though it was never properly migrated to the target architecture. Each of these decisions makes sense at the time.
The situation becomes critical when more and more of these decisions accumulate over the years. This results in an IT landscape that, while functional, becomes increasingly difficult to modify, integrate, and secure.
Below, we outline typical signs of technical debt in day-to-day business operations.
A Digital Patchwork
Each department uses its own solutions, and many of them were not officially coordinated with the IT department or originated from pilot projects that were never consistently carried forward. As a result, data is scattered across different systems, responsibilities are unclear, and processes vary from department to department.
Symptoms:
- Shadow IT and Siloed Solutions
- Redundant systems and duplicate functions
- Rising licensing and operating costs
Lack of an end-to-end view of processes
Symptoms:
- Manual data transfers and duplicate data entry
- error-prone processes
- significant coordination efforts between departments
Legacy Systems and Knowledge Dependency
Symptoms:
- Lack of system documentation (the know-how is stored in people's minds)
- Increasing operational and downtime risks
- Innovation projects are being blocked
Unfinished Digitization Projects
Symptoms:
- Parallel Operation of Old and New Systems
- Isolated digital projects without an overall strategy
- Lack of Vision and Standards
Technology with No Real Benefit
Symptoms:
- Lack of value for academic departments and low user acceptance
- Unused features and licenses
- Declining Trust in IT
What used to “somehow work” has now become an obstacle to speed, innovation, and change. Because many companies find themselves in several of these scenarios, the systematic modernization of the IT landscape is now taking center stage. End of form
Technical debt does not automatically mean that a system is poorly designed.
During a project, we encountered a very old system that, from a technical standpoint, had long been in need of modernization: outdated technology, increasing security requirements, and recurring audit findings.
At the same time, it continued to be valued by the departments because it provided very precise support for their actual work processes.
That was precisely where the tension lay: The system worked for users, but it was becoming an increasing risk for operations. In the end, it was running only in a highly isolated environment with restricted access—an upgrade is imminent.
Cases like these illustrate why technical debt must be assessed on a case-by-case basis: Not every legacy system is technically flawed. But every critical legacy system requires transparency regarding risk, benefits, and future viability.
A Brief Project Overview by Ilan Koch (Senior Consultant | Business Process Automation)
Why Does Technical Debt Become a Business Risk?
The business risk posed by technical debt is often underestimated. The reason: The legacy systems work and processes run—albeit more slowly and with manual effort involved.
At the same time, IT departments are under enormous pressure: ensuring business continuity, meeting security requirements, and implementing new projects.
As a result, the underlying causes often persist for years, thereby increasingly becoming a business risk. Among the most significant business risks are:
A lack of transparency makes decision-making more difficult
Many IT managers lack a complete overview of systems, interfaces, and dependencies. This knowledge is scattered across teams or even held by individual people. There is often a lack of transparency regarding which legacy systems pose the greatest risks and/or incur the highest costs.
This makes it difficult to prioritize modernization effectively or to provide management with a sound justification for investments.
Rising IT Costs Without Measurable Progress
Rising maintenance and operating costs, a high level of manual effort, and an ever-increasing number of custom solutions are tying up significant resources in many companies. At the same time, there is less and less time for strategic development.
The main problem: Costs are rising, while visible progress is lacking. Instead of driving innovation, a large portion of IT resources is being devoted to the operation and maintenance of existing systems.
Innovation and speed of implementation suffer
Cloud initiatives, AI projects, and automation require systems that can be integrated and modernized. However, many legacy systems reach their limits in this regard. Outdated interfaces and incompatible data structures make it difficult—if not impossible—to integrate new technologies.
At the same time, business units are increasingly expecting AI capabilities to be integrated into processes to boost efficiency. A 2024 study by Computerwoche also shows that AI has now become a driver of modernization: For nearly one in four companies (24%), the introduction of AI is already a direct catalyst for the modernization of legacy systems.
The problem here isn't just technical in nature. If new business requirements can no longer be implemented quickly, your IT department will increasingly lose its role as an enabler and become a bottleneck for innovation.
Security and Compliance Risks Are on the Rise
As the complexity of the technology stack increases, so do the risks. Outdated systems often have limited capabilities when it comes to security or updates. At the same time, requirements for security, data protection, and compliance are constantly rising. As a result, audits regularly reveal new issues that require significant effort to resolve.
Instead of strategically managing security and governance issues, IT departments are constantly operating in reactive mode.
The shortage of skilled workers is making the situation worse
In addition, it is becoming increasingly difficult to find employees for outdated technologies and legacy systems. Often, there is a lack of both available expertise in the market and internal knowledge of legacy systems. At the same time, there is a declining willingness to work with outdated code and systems that are difficult to maintain over the long term. This creates dangerous dependencies on individual people.
Technical debt becomes a competitive disadvantage. Companies that systematically reduce their legacy debt lay the foundation for a future-proof IT infrastructure. By contrast, those that remain in a reactive mode over the long term will increasingly lose their competitive edge.
That is exactly why doing nothing ends up being more expensive in the long run than taking action. Technical debt doesn't just disappear on its own. It continues to grow with every additional exception, every new workaround, and every postponed modernization.
Stagnation in IT: Why Don't Many Companies Reduce Their Technical Debt?
Although the challenges are well known, IT modernization is repeatedly put off. This is rarely due to a lack of awareness of the problem. Instead, there are often understandable reasons why a modernization backlog develops:
Day-to-day operations take precedence over strategic modernization
Incidents, security issues, day-to-day operations, and last-minute requests from business units dominate the daily routine in many IT departments. As a result, there is often little room left for strategic modernization.
For you, this creates a constant conflict of priorities: Operations must run smoothly—yet at the same time, it’s clear that a shutdown will only exacerbate the problems in the long run.
Modernization seems too ambitious and too risky
Existing IT infrastructures have become so complex that changes can quickly seem unpredictable. Dependencies are unclear, risks are difficult to assess, and knowledge about the systems is often scattered.
The well-known saying “Never change a running system” therefore seems reasonable at first glance—but it increasingly fails to reflect reality. While many systems are still running, they simultaneously hinder innovation and the ability to adapt.
There is a lack of transparency and prioritization
Due to the large number of legacy systems, organizations often lack a clear, comprehensive view of the state of their IT infrastructure.
For you, this means that the cloud, AI, security, legacy systems, and automation are all vying for your attention at the same time. Without an objective assessment, it becomes difficult to set priorities based on facts or to clearly justify investments.
A lack of information on which to base decisions makes it difficult to approve budgets
Modernization often has to compete with other investments. At the same time, technical debt is difficult to quantify in traditional business cases.
As a result, decisions are often made based on gut feelings, while reliable data on risks, costs, and dependencies is lacking.
Many IT managers are therefore familiar with the feeling: “Something isn’t quite right here, but I can’t prove it clearly enough.”
The result: Companies get stuck in a constant state of reactivity. Instead of actively developing their system landscape, they focus primarily on ensuring stability in day-to-day operations. However, this is precisely what causes technical debt to continue to grow. After all, doing nothing does not reduce complexity; it merely postpones the problems to the future.
How can you reduce technical debt?
Technical debt can rarely be resolved through a single large-scale project. IT structures burdened by legacy issues are usually too complex, and the interdependencies are too diverse. It is therefore crucial to take a structured approach and set the right priorities.
The first step is to create transparency:
- What kinds of technical debt exist?
- Where do the greatest risks and costs arise?
- What problems are the biggest obstacles to innovation and change?
- Which measures provide short-term relief, and which are strategically important?
Only on this basis can modernization projects be prioritized effectively and sound decisions be made.
That is why we deliberately take a holistic view of technical debt—across five dimensions:
We combine these perspectives with our commitment to not only modernize individual systems, but also to take a holistic view of documents, data, processes, technology, and operations. This creates a solid foundation for decisions, digital roadmaps, and modernization steps that work in day-to-day business operations.
A structured approach with clear priorities leads, step by step, to a sustainable and more manageable application landscape.
Conclusion: Reducing technical debt means regaining your ability to act (more effectively)
Technical debt is no longer just an IT issue. It determines how quickly companies can respond to new requirements, improve processes, and implement innovations.
The crucial first step is often not the immediate replacement of individual systems, but rather a structured assessment: Where do the greatest risks, costs, and dependencies lie today? Only with this level of transparency can modernization needs be sensibly prioritized and managed based on facts.
The good news is that you don't have to rebuild everything from scratch right away. But you should start actively working to close the digital gap before legacy technical issues continue to hold you back.
Would you like to discuss this topic? Please contact us.
Ilan Koch
Senior Consultant
Business Process Automation
ilan.koch@isr.de
+49(0)151 422 05 414
