Four Names, One Signal
On July 2, SAP and IBM announced that four global enterprises had chosen SAP Cloud ERP Private on IBM Power Virtual Server to modernize their ERP workloads. The names are worth reading closely: JYSK, the Danish home-furnishing retailer; GBM, an IT services firm across Central America and the Caribbean; DIFARE Group, an Ecuadorian pharmaceutical company; and Plastilene Group, a Colombian maker of flexible film solutions. This is not a marquee Fortune 100 logo parade. It is a cross-section of serious, mid-to-large enterprises in retail, distribution, manufacturing and services, spread across four countries.
That breadth is the actual message. The industry narrative has fixated on hyperscaler public cloud as the only destination for modernized ERP, but SAP and IBM are pointing at a quieter reality: a large population of established companies want to move off aging on-premises systems without pouring their most sensitive, mission-critical workloads into a shared public tenant. Four named references in a single announcement is SAP and IBM's way of arguing that private cloud is not a legacy holdout but a deliberate, growing choice for organizations with specific regulatory, data-residency and performance constraints.
Why Private Cloud Still Matters in an AI Era
SAP Cloud ERP Private, the offering formerly associated with RISE with SAP, gives customers a managed, single-tenant path to a modern SAP core while keeping tighter control over where data sits and how the environment is configured. Running it on IBM Power Virtual Server pairs that with infrastructure explicitly engineered for mission-critical resilience. For a pharmaceutical distributor or a manufacturer whose entire operation stops if ERP stops, the calculus is less about cloud fashion and more about uptime, control and the ability to satisfy auditors in their own jurisdiction.
The AI dimension makes this more relevant, not less. As enterprises prepare to let agents act on ERP data, the questions of where that data lives, who can reach it and how it is governed become sharper, not softer. A single-tenant private environment gives a CIO a cleaner story to tell about data boundaries and control at exactly the moment autonomous agents are about to be pointed at the general ledger and the supply chain. Modernizing onto a controlled platform first is a defensible way to get AI-ready without ceding governance.
The 27 Percent ROI Claim
The figure SAP and IBM are leaning on comes from IBM's Institute for Business Value, which found that companies embedding AI into their ERP systems achieve up to 27 percent higher return on investment. That number is doing heavy lifting in the pitch, because it reframes ERP modernization from a cost-and-risk exercise into a prerequisite for AI-driven returns. The implicit argument is that you cannot capture the AI upside on top of a brittle, unmodernized core, so the migration pays for itself twice, once in operational efficiency and again in unlocked AI value.
We would treat up to 27 percent as a directional claim rather than a guarantee, since vendor-sponsored ROI figures always describe the best cases under favorable conditions. But the logic holds even if the exact number does not travel to every customer. Clean, consistent, well-governed ERP data is the raw material AI agents need, and enterprises running fragmented, heavily customized legacy systems will struggle to realize any AI return until that foundation is fixed. The ROI story is really an argument about sequencing: modernize the core, then let AI compound on top of it.
What the Executives Are Saying
Lalit Patil, CTO for RISE with SAP and head of cloud lifecycle engineering and operations at SAP, framed the news as evidence of momentum, saying organizations are now modernizing their cloud ERP landscapes and advancing their cloud ERP digital transformation strategies with SAP solutions on IBM Power Virtual Server. The word now is the tell. SAP wants the market to believe the migration wave has moved from planning decks into signed commitments, and named references are how it makes that believable.
Hillery Hunter, general manager for IBM Power and CTO of IBM Infrastructure, anchored the infrastructure side, saying organizations across industries are accelerating their move to SAP Cloud ERP Private and require a trusted cloud platform designed for mission-critical workloads. Between the two quotes sits the joint value proposition: SAP supplies the modern ERP and the digital-transformation narrative, IBM supplies the resilient home for the workload, and both benefit from framing private cloud as the responsible on-ramp to agentic AI rather than a compromise.
The Geographic Story Is Strategic
It is easy to overlook that three of the four named customers sit in Latin America and one in the Nordics. That geographic spread is not incidental. Data-residency rules, local regulatory regimes and the simple preference to keep critical systems close are powerful drivers in markets where public-cloud region availability and compliance postures do not always match a multinational's assumptions. Private cloud on resilient infrastructure is often the path of least resistance for exactly these organizations, and SAP and IBM are signaling they intend to compete hard for that global mid-market rather than chasing only the largest Western enterprises.
For CIOs outside the United States, the announcement is a useful reminder that the AI-and-ERP modernization story is not one-size-fits-all. The right deployment model depends on jurisdiction, industry, risk appetite and the specific data an organization holds. A Colombian manufacturer and a Danish retailer landing on the same private-cloud pattern, for different reasons, illustrates that the destination matters less than matching the model to the constraints. The vendors that win the next wave will be the ones offering genuine choice across public, private and hybrid, not a single dogmatic answer.
What CIOs Should Watch
The immediate watch item is the 2027 horizon that hangs over the SAP base. With mainstream maintenance for legacy SAP ERP winding down and a broader push toward the cloud core, many organizations are being forced into a modernization decision they had hoped to defer. Announcements like this one are partly SAP demonstrating that the private-cloud path is real and populated, giving hesitant customers permission to choose it. CIOs still weighing their options should read four named references as social proof, not as a substitute for their own business case.
The subtler watch item is lock-in and exit optionality. Choosing SAP Cloud ERP Private on IBM Power Virtual Server is a deep, multi-year commitment across two vendors, and the governance, cost and portability terms deserve as much scrutiny as the technical fit. The promise of AI-ready data and 27 percent ROI is attractive, but it should be pinned to concrete milestones and contractual clarity about what happens if priorities shift. Modernization is the right instinct; entering it without a clear-eyed view of the commitment is how good instincts turn into expensive regret.
The Bigger Picture
Strip away the logos and this announcement is a data point in the defining enterprise-IT story of 2026: the scramble to get core systems into a state where agentic AI can actually be trusted to act on them. ERP is the last place a company wants an ungoverned agent making mistakes, which is precisely why modernizing and controlling that core has become urgent rather than optional. SAP and IBM are betting that private cloud on resilient infrastructure is the safest bridge from legacy ERP to an AI-augmented one, and four customers have just agreed with them.
For the wider market, the takeaway is that the modernization wave and the AI wave have merged into a single program of work. The enterprises moving now are not choosing between fixing their ERP and adopting AI; they are treating the first as the enabling condition for the second. That reframing, modernize so that AI can compound, is the strategic logic every CIO will be asked to defend over the next eighteen months, and deals like this one are the early evidence of how that logic is playing out in practice.
