SAP powers 5 source-linked AI deployments documented in AIUseCaseHub, across 3 industries and 5 countries. Documented deployments include AI agents, copilots.
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Use Cases
5
Industries
3
Countries
5
Agent Cases
2
Hyperscaler mix
Filter SAP's implementations by cloud provider evidence.
How SAP builds AIBuild, Buy & Compose — what they mean
KTern.AI built a production agentic AI platform for SAP S/4HANA transformation workloads using Amazon Bedrock AgentCore, with more than 20 specialized agents for reverse engineering, fit-to-standard, code analysis, test generation, process mining, and exception mining.The system uses AgentCore runtime, memory, gateway, identity, observability, and evaluations to provide persistent context, secure tool access, multi-tenant isolation, and traceable enterprise operations.
EY built an EY.ai Agentic Acceleration Engine to identify and scale high-value agentic AI opportunities across fragmented SAP business processes.The program analyzed SAP financial close and supply chain workflows and turned them into working prototypes and solution designs for enterprise operations.
Microsoft and SAP have enhanced their long-standing partnership by jointly enabling AI innovation and process transformation for enterprises worldwide. Through integration of SAP Business Technology Platform (BTP), SAP Joule, and Microsoft 365 Copilot—combined with Power Platform and Azure OpenAI Service—customers accelerate SAP workload migrations, deploy AI assistants, and automate business workflows across finance, supply chain, and HR. Major global industrial and mining companies, including Hilti Group (construction), JFE Steel (manufacturing), and South32 (mining/resources), migrated complex SAP landscapes to Azure, achieving rapid business transformation with integrated AI and automation.The collaboration enables organizations to unify data from SAP and Microsoft 365, build custom Copilots using Copilot Studio, and leverage SAP data in Microsoft Teams and Power BI. Security Copilot helps detect and remediate SAP-related cyberthreats. Expanded SAP BTP regional availability boosts data sovereignty and compliance. The article provides real project results, case studies, and tested enterprise benefits enabled through Microsoft-powered SAP migrations.
iGuzzini migrated its ERP system to SAP S/4HANA on Google Cloud and implemented SAP Manufacturing Intelligence Integration to modernize its operations.The company also adopted Google Workspace for 1,500 employees to improve collaboration and integrated its SAP and cloud environment to support future IoT and machine learning work.
Arvato Systems, a Germany-based logistics specialist, implemented AI-powered optimization for complex supply chain logistics using Microsoft Azure and integrated SAP solutions.The project focused on addressing challenges like order complexity, warehouse release processes, and transport optimization.Arvato blended its supply chain management expertise with Azure Cloud, SAP S/4HANA, SAP Extended Warehouse Management (EWM), and SAP Transportation Management (TM), along with its proprietary platbricks platform.Innovations included the use of machine learning, analytics, mobile logistics apps, and chatbots to modernize logistics operations for clients across various industries.Their services extended beyond IT implementation, covering strategic partnership, process redesign, education, and change management.The platform was designed to close digitization gaps and enable tailored supply chain optimization depending on individual client requirements.With this digital transformation, Arvato enabled logistics organizations to improve efficiency, customize processes, and ensure future-readiness.Key outcomes included enhanced operational efficiency and sustainability throughout the logistics chain.The integration also supported innovation continuity by exposing customers to emerging logistics trends.This solution positioned Arvato customers for continuous growth in dynamic global markets.