Why Complex SAP Systems Rarely Fail Because of Technology
When SAP landscapes become sluggish, expensive, and barely maintainable, the reflex is to look for a technical cause. In practice, however, it becomes clear that the real root almost always lies in decision processes, organizational patterns, and a lack of systemic perspective – not in the technology itself.
The Starting Point: Technology Is Visible, Causes Are Systemic
Custom code, an explosion of interfaces, performance issues – these are the visible symptoms. They are real and must be addressed. But they are almost never the actual cause.
Technology is merely the language in which organizational decisions manifest. Complexity arises where these decisions are made in an unstructured, uncoordinated way or without a long-term perspective.
Three Types of Decisions That Create Complexity
1. Strategic Decisions
Platform choices, operating models, cloud strategies, standard-versus-custom philosophies. An incorrect or missing strategic direction continues to have effects for years.
2. Tactical Decisions
How is an integration implemented technically? Which interface has priority? Does a module remain on-premise or move to the cloud? This is where most technical debt is created.
3. Operational Decisions
The “quick fix” in day-to-day operations: an additional interface, a local exception, a workaround “until the next release”. These decisions accumulate unnoticed into the largest source of complexity.
Recommended Actions: Five Pragmatic Measures That Work Immediately
1. Make Decision Paths Visible
Map the three most important paths through which changes enter your landscape (for example feature requests → business unit → IT, integration requests, release approvals). Only what is visible can be managed.
2. Establish Clear Ownership per Path
Each path needs a business owner and a technical/architectural owner. Without named accountability, any guardrail remains ineffective.
3. Control Variants Instead of Prohibiting Them
Variants are unavoidable in large organizations. Introduce a central variant register with evaluation (business value versus technical cost) and an approval process. This prevents uncontrolled growth.
4. Make Impact Assessments Mandatory
Any change with potential system impact must go through a short, standardized impact assessment (technical, operational, financial, upgrade path). Three questions are often sufficient: What problem are we really solving? Is there a standard alternative? What follow-up costs arise in three years?
5. Architecture Routines Instead of One-Off Projects
Architecture work must not be a one-time artifact. Establish weekly or bi-weekly architecture reviews and a permanent architecture board. Architecture has to be practiced – like a muscle.
Operationalization: A 90-Day Plan That Works Without a Major Project
- Days 1–14: Mapping of the three most important decision paths
- Days 15–30: Assignment of clear business and architecture owners
- Days 31–45: Definition of 2–3 guardrails per path (for example “No new point-to-point integrations”, “Every deviation requires an impact assessment”)
- Days 46–60: Introduction of a one-page impact template (mandatory for every change)
- Days 61–90: Start of a weekly review loop and the first variant register
After 90 days, you will see noticeably less sprawl – without a multimillion budget and without months of workshops.
Measurable Targets (Without KPI Obsession)
- Share of changes with a complete impact assessment → target: 100% within 6 months
- Number of documented and approved variants in the register
- Reduction of new point-to-point integrations by ≥ 80%
- Average decision time per change (should decrease, not increase)
Common Objections – And the Honest Answer
“This will only slow us down.”
Good governance accelerates execution because it reduces uncertainty and rework.
“We don’t have time for this.”
The alternative is spending 70% of the IT budget in three years maintaining historical complexity instead of investing in innovation.
Conclusion: Architecture Is a Socio-Technical Field
Complexity does not arise from a lack of technology, but from a lack of structure among the people who make decisions.
Anyone who wants to reduce complexity sustainably must start where it is created: with responsibilities, guardrails, and recurring routines.
Only those who understand architecture as an ongoing practice – and not as a one-time document – create SAP landscapes that remain lean, maintainable, and future-ready.