SAP, a titan of enterprise software, is now charging customers for AI based on compute usage, not business outcomes. This shift forces companies to solve the return on investment (ROI) equation themselves, adding a layer of financial complexity to their AI adoption strategies.
SAP pushes AI as a seamless efficiency solution, but its new consumption-based pricing model for AI makes cost forecasting and ROI validation anything but seamless for customers. This tension creates a significant hurdle for enterprises seeking to integrate advanced AI capabilities.
Companies adopting SAP's new AI-driven solutions are likely to experience significant challenges in budgeting and demonstrating clear return on investment, potentially leading to unexpected cost overruns.
Understanding SAP's Diverse Pricing Models
SAP is shifting from traditional per-user and subscription models to consumption-based pricing, particularly for AI, according to Erp Today. This pivot fundamentally alters the cost landscape, demanding a new approach to budgeting and value assessment.
1. SAP Business AI
SAP Business AI embeds intelligence directly into SAP workflows, deploying 'forward deployed engineering' teams to build AI applications with clients. While offering deep integration and custom solution support, its consumption-based pricing ties costs to compute usage, not business outcomes. This model shifts the burden of ROI validation and cost predictability entirely onto the customer.
2. RISE with SAP
RISE with SAP offers a bundled solution for cloud ERP adoption, covering software, infrastructure, and services. Estimated starting prices are $2,000-$5,000+ per full-use equivalent (FUE) per year, as reported by Checkthat Ai. This comprehensive package simplifies the path to cloud ERP but introduces high entry costs and complexity in defining and managing FUEs.
3. S/4HANA Cloud
