The kickoff goes well. The charter is signed. Executive sponsors are aligned. The implementation partner has a methodology and a plan. By the end of mobilization, the program looks like one of the good ones.
Even the design phase goes well. We have our 200 processes scoped and designed; they get signed off, and everyone is happy.
Then the build phase starts.
SAP S/4HANA initiatives frequently stumble at this juncture. The issue is rarely a lack of vision or skill, but rather the initial collision between theoretical designs and actual system configuration. Every assumption that was allowed to stay soft in the design phase becomes a problem, and the problems arrive all at once.
Why the Build Phase Exposes What Design Hides
When configuration starts, the gap between expectation and reality surfaces fast. A process that looked straightforward in a design workshop turns out to require three custom developments. An integration scoped as a standard API connects to a legacy system that exports data in an undocumented format. Master data that passed a high-level quality check turns out to have mysterious fields we didn’t consider in design but look fundamental now. (What many overlook is that the master data fields often determine process variants in SAP. A common problem is that the data workstream and process design stream work in isolation from each other.)
The team did not miss these things because they were careless. They missed them because the only way to find them is to run the system against the actual data and set up. But that only happens late.
The Five Failure Modes That Derail Healthy Programs
- Unclear decision authority. When business owners, IT, and the implementation partner all have partial authority over design choices, decisions stall. Defects wait for approval. Rework accumulates. The build team spends time chasing answers that should have been locked before configuration started. Programs that recover from build problems almost always have clear accountability structures in place. Programs that spiral rarely do.
- Scope expansion after design freeze. Teams keep adding requirements described as small or low-effort. Each one is manageable individually. Collectively, they consume build capacity, push testing further out, and make delivery look worse than the business case projected. By the time the impact is visible in the schedule, the program has already absorbed weeks of unplanned work.
- Data is underestimated until it is too late. Data design is a dependency that blocks everything else. Incomplete master data slows configuration. Inconsistent transactional data makes integration testing unreliable. Teams discover during build that the data they planned to migrate is not in the shape they assumed, and there is no time left to fix it properly. When Process meets Data, the devils in the details are unleashed.
- Integration complexity that only appears at runtime. Interfaces to legacy systems, third-party tools, and downstream reporting look manageable on architecture diagrams. Once real dependencies are mapped and actual system behavior is tested, the effort expands. The connections that were expected to take two weeks take six, because the source system behaves differently from what the documentation described, or because the data are different from what anyone modeled.
- Testing is compressed to protect the go-live date. When builds slip, the schedule pressure falls on testing. Cycles get shortened. Defects get deferred with promises to fix in hypercare. The system that goes live has not been adequately tested, and the deferred problems start surfacing in production immediately.
What These Failures Have in Common
Every failure above traces back to the same root cause: everything the program chose not to resolve in design lands in build, where the cost of fixing it is highest and the time available is shortest. This is why SAP transformation programs discover problems too late and why the pattern repeats across programs that looked healthy on paper.
Strong mobilization reduces some of this risk. It does not eliminate it. Making a program governable before you commit capital requires more than a signed charter. As long as the design phase produces documents rather than a working system, the build phase will keep surfacing problems that could have been found and fixed earlier.
What Changes When You Confront Reality Earlier
LeapGreat’s FrontLoad™ approach delivers a working Version 0 SAP S/4HANA system before Design or even your project begins. It is configured for your processes and loaded with your real data, a system your team can validate before the main program budget is committed.
By the end of Phase 0, the team has done something most programs do not do until the Realize phase. Data and process complexity are measured against a real system, not estimated from a design. Decisions are documented against real configuration, which means the governance model reflects how the system actually works rather than how the team hoped it would. What you see is what you get.
The refinement backlog is scoped and effort-estimated before the main program starts, which means scope disputes and change order negotiations happen early, not after the build is already underway. One often hears the phrase Fail Fast. In Transformation projects, we usually see the failure so late that it is hard or prohibitive to do anything about.
A program that enters build with a validated system, a scoped backlog, and locked decision rights is running a different risk profile than one that enters build with a design document.
When hearing this, most people will think that it would take forever. With LeapGreat, it takes a week to build your working system and another week to provide you with all the documentation and guidance to avoid these pitfalls.
See your working SAP S/4HANA system before your build phase starts.
