And What It Costs to Fix Them After Commitments Are Locked
The pattern every SAP leader recognizes
For months, the transformation has looked stable. Design workshops generate detailed process diagrams. Requirements fill hundreds of pages. Budgets get approved. Status dashboards show green.
Then the system appears. Processes behave differently than expected. Integrations fail in ways nobody modeled. Change Requests emerge. Costs start climbing. Gaps that were invisible during design become urgent problems.
This is not unusual. McKinsey’s research on large-scale digital transformation consistently finds that a majority of programs exceed their budgets or timelines, with risks surfacing late in the lifecycle. The typical explanation is complexity or poor execution. But the real cause is more specific.
The sequence is backwards
Most SAP programs follow the same implementation order, closely aligned with the SAP Activate framework:
1. Design the future processes
2. Document requirements in detail
3. Commit to scope and budget
4. Build the system later
The organization only learns whether its assumptions were correct when the system finally materializes. By then, decisions are locked. Contracts are signed. Timelines are fixed.
Late discovery is not a failure of execution. It is a structural consequence of doing things in this order. The system appears too late, so the truth appears too late.
What late truth costs
When problems surface after commitments are locked, the damage is predictable: rework across multiple modules, schedule delays from cascading dependencies, budget drift from change orders and expanding scope, and declining stakeholder confidence as forecasts keep shifting.
ERP analysts at firms like Gartner have repeatedly observed that transformation programs run into trouble when organizations commit scope before validating system behavior with real data. Compliance gaps, operational mismatches, and data migration failures all tend to appear during testing or deployment, which is the most expensive phase to fix anything.
But the deepest cost is strategic. When the truth arrives late, leadership loses the ability to course-correct while the program is still flexible. Decisions become reactive. The program manages surprises instead of outcomes.
Building the system first
LeapGreat approaches SAP transformation from the opposite direction. Instead of designing on paper and building later, the program starts by creating a working SAP environment called Version 0.
Version 0 is not a prototype, a sandbox, or a demo. It is a functioning SAP environment configured for the customer’s business processes using their data. The Project Team and Business users interact with it immediately.
This method, called the FrontLoad™ approach, implements the system before you start the project. Instead of spending months designing before anyone touches the real system, teams validate their most important processes against actual system behavior from the start. This sounds like it would take a long time. We can do this in under two weeks thanks to the magic of automation and AI.
What Phase 0 produces
During a Phase 0 engagement organizations produce:
- A working Version 0 baseline for the priority business processes, built with real data.
- Evidence-based gap identification. Every refinement need is tied to a demonstrated gap in system behavior, not a theoretical concern from a workshop.
- A prioritized refinement backlog with effort estimates for each item. Unknowns become estimable work.
- A governance model that the enterprise’s internal team (the Center of Excellence) can operate independently.
By the end of Phase 0, leadership makes program decisions based on evidence from a working system, not assumptions from design documents.
What this looks like in practice
Consider a manufacturer running an SAP transformation. In a traditional program, the design phase produces detailed process maps. Everyone signs off. Six months in, the team discovers that the procurement workflows don’t handle the company’s specialized supplier pricing structures. Production planning has dependencies that nobody mapped. The budget variance is already double digits before anyone realizes the design was wrong.
These are not exotic problems. They are the ordinary result of committing to a design before the system existed to test it against.
With Version 0 in place early, the procurement and planning workflows get validated by business users in the first few months. The supplier pricing mismatch surfaces immediately because people are working in the real system. The production planning dependency shows up when someone runs an actual MRP cycle, not when a consultant draws a process flow.
The team still has to fix these gaps. But they fix them when the program is flexible, before the scope is locked and before the budget is committed to a design that turned out to be wrong.
Why does this matter for brownfield migrations specifically?
Many S/4HANA transformations happening right now are brownfield: organizations migrating from ECC to S/4HANA while carrying forward existing data, configurations, and business logic. The brownfield context makes late discovery especially dangerous because the existing system’s complexity is already baked in. You’re not starting from a blank slate. You’re converting a system that has been customized and patched for years, sometimes decades.
In brownfield scenarios, the gap between “what we designed on paper” and “what the system actually does with our data” is often wider than anyone expects. Custom transactions, modified standard processes, master data that’s been patched across multiple acquisitions—none of this shows up in a design workshop. It shows up when the system runs.
Building Version 0 early is particularly effective here because it forces the real data and real configurations into the conversation before the program commits to a migration path.
Getting started without disrupting what’s already in motion
FrontLoad™ is designed to run before or alongside an existing program. It does not require scrapping current plans or switching vendors. A few practical starting points:
- Pick the processes that will determine success or failure. Not all processes. Three to five. The ones where a gap would cause the most damage.
- Build Version 0 for processes using real data. Not sample data, not anonymized subsets. The actual data will expose the actual problems.
- Put business users in front of the system early. Not in a demo. In their target working environment where they can run transactions and see what happens.
- Document what breaks and what fits. Every gap becomes a bounded work item with an effort estimate, not an open-ended change request.
- Establish governance before the program scales. Decision frameworks, traceability standards, and a Center of Excellence structure that the organization owns.
The goal is not to add another layer of planning. It is to replace planning-based assumptions with system-based evidence before the program passes the point where assumptions become expensive.
The choice
SAP programs do not fail because organizations lack talent or commitment. They fail because the industry’s standard sequence operates in a Design-then-Build Mindset instead of a Build-then-Refine mindset.
Build your system early. Validate with real data. Surface the truth while it’s still cheap to act on.
If your team is preparing for a major SAP initiative or trying to regain control of one already underway, it is worth examining whether the current sequence is creating avoidable risk. LeapGreat’s Phase 0 with Version 0 engagement is a fixed-scope, fixed-price way to find out.
Contact us today to discuss whether a Phase 0 engagement could help your team surface risks early and make your SAP transformation governable from day one.
