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AI-ready growth with Haleon’s SAP business suite
Haleon is adopting SAP Business Suite to modernize its digital infrastructure, embed AI capabilities across operations, and improve supply-chain responsiveness. The article highlights how SAP Business Suite will help Haleon simplify and standardize critical processes globally, replacing fragmented workflows with more integrated end-to-end automation. By integrating core functions such as finance, supply chain, HR, and sales using real-time data, Haleon aims to build a trusted foundation for data-driven decisions. Haleon also plans to use SAP Cloud ERP applications with embedded AI and SAP Business Data Cloud to enable more proactive, AI-assisted innovation—supporting an agentic future where issues are identified earlier and actions recommended faster.
 

JLR’s clean core playbook: governance before innovation
JLR’s SAP S/4HANA transformation follows a “Clean Core” strategy designed to balance standardization with the realities of global manufacturing complexity. The key theme is disciplined governance: JLR established a pyramid of governance using SAP Activate principles, moving from Standard Configuration to Green Extensions and increasing scrutiny for Amber/Red deviations. For every proposed customization, a governing board reviews options, total cost of ownership, and the roadmap back to clean core. The article emphasizes that modern extensibility—especially Fiori-only access and sidecar capabilities enabled via BTP and RAP—allows JLR to address industry gaps without compromising the core system. The takeaway: clean core is ongoing, not a one-time migration.
 
Enterprise AI at scale: SAP + NVIDIA connect intelligence to business
SAP and NVIDIA are aligning to advance enterprise AI transformation by connecting AI technologies with deep business context. The article describes an end-to-end lifecycle approach—from model training acceleration using NVIDIA NeMo to hosted model execution through SAP AI Core and generative AI hub. For inference performance, NVIDIA NIM microservices are used to optimize runtime, enabling organizations to operate AI within mission-critical workflows using trusted SAP business data. Beyond software, the collaboration also explores embodied AI and optimization in planning scenarios, illustrating how predictive insights can trigger coordinated actions across enterprise processes. Overall, the message is clear: AI works best when it’s governed, integrated, and embedded directly into business operations—an approach well aligned with cloud-first modernization such as SAP S/4HANA Cloud Public.