A Swiss headquartered multinational faced an SAP audit opening with a multi million franc shortfall. Independent buyer side advisory cut the exposure by about 90 percent. This is how the defense was built and which levers moved the number.
A Swiss headquartered multinational faced an SAP audit that opened with a multi million franc shortfall claim. Independent buyer side advisory cut the exposure by about 90 percent. This is how the defense was built and which levers moved the number.
The client is a large industrial group headquartered in Switzerland with operations across Europe and Asia. The detail here is anonymized at the client's request.
The audit arrived in the year before a major renewal. The opening letter proposed a shortfall in the multi million franc range. The number looked alarming and, on inspection, mostly wrong.
The exposure had two parts. A named user shortfall and a large digital access claim. Both rested on inputs the client had never validated.
A pending renewal and several years of acquisitions had grown the user base. SAP saw the growth in the annual measurement and opened a formal audit.
The findings letter combined a Professional user shortfall with a digital access figure drawn from a raw document extraction. Neither had been challenged internally.
The work ran in three streams in parallel. Measurement, classification, and document scoping. Speed mattered because the renewal clock was running.
We reran the USMM and LAW measurement on a clean basis. The first pass had counted dormant accounts, test users, and duplicates as live Professional users.
Every active user was mapped to the lowest correct license type. Read only and occasional users moved off Professional licenses, which carry the highest price.
We rebuilt the digital access count from real transactions, following the digital access document model. Reversals, test documents, and internal flows dropped out of the chargeable count.
The boundary of what actually counts traces back to the SAP versus Diageo judgment, which is why scoping the document count so carefully mattered here.
Where the exposure stood before and after the defense
| Lever | Opening position | After defense |
|---|---|---|
| Named users | Inflated by dormant and duplicate IDs | Clean active base, lowest correct types |
| Digital access | Raw extraction, all documents | Chargeable documents only |
| Engines | Self declared, unverified | Verified against real usage |
| Commercial posture | Penalty and back charge | Planned renewal purchase |
Two levers carried most of the reduction. Named user reclassification and the digital access rebuild.
Removing dormant and duplicate accounts and downgrading read only users cut the user shortfall sharply. This single lever erased a large share of the opening claim.
Engine metrics had been declared from system defaults rather than real activity. Correcting them against observed usage removed a further slice of the finding.
The common advice is to settle an SAP audit quickly to preserve the relationship and avoid escalation. We disagree, at least as a reflex. In this case and in most we have run, the opening number was inflated by uncorrected data, and a fast settlement would have locked that error into the renewal for years. The relationship was never at real risk, because the client held the leverage of a pending deal SAP wanted. The buyer side move is to correct the data first, then negotiate from a defensible figure, and to treat the renewal, not the audit desk, as the place to close.
Source: Redress Compliance advisory engagement file, 2024 to 2025.
The opening claim was a multi million franc number built on data nobody had checked. Once the data was clean, the number was a fraction of itself.
The defense changed both the number and the shape of the deal, resetting the path toward the upcoming RISE with SAP renewal.
The lesson is not that the client got lucky. It is that the data was contestable and someone contested it in time.
The contract did not change. The measurement did. Every reduction came from correcting inputs the client already owned.
The proposed shortfall fell by about 90 percent. Almost all of the reduction came from correcting named user classification and rebuilding the digital access count, not from contract changes.
The opening claim rested on uncorrected data. Dormant and duplicate user IDs were counted as live Professional licenses, and the digital access figure came from a raw document extraction that included reversals and test flows.
Named user reclassification. Removing dormant and duplicate accounts and downgrading read only users to the correct license type erased a large share of the proposed shortfall before any negotiation began.
About eleven weeks from the notice to settlement. The data work ran in three parallel streams from the first week, which is why the matter closed quickly rather than dragging across months.
Yes, but on its own terms. The settlement converted a penalty and back charge posture into a planned renewal purchase tied to the upcoming contract, sized against a clean and defensible measurement.
Rarely as a reflex. A quick settlement on an inflated number locks the error into the renewal for years. Correcting the data first and negotiating from a defensible figure protects far more value.
The audit landed before a major renewal SAP wanted to win. That pending deal handed the client the leverage, so the relationship was never at real risk and the negotiating position was strong.
The result was not luck. It came from contesting contestable data in time. Any buyer who reruns a clean measurement, reclassifies users, and rebuilds the document count can reset an inflated finding.
SAP RISE pricing benchmarks, the CVR framework, indirect access posture, and the buyer side moves across the full SAP estate.
Used across more than five hundred enterprise engagements. Independent. Buyer side. Built for procurement leaders running the next renewal cycle.
The opening claim was a large number built on data nobody had checked. Once the data was clean, the number was a fraction of itself.
