These AI frontrunners are outperforming peers with faster revenue growth, higher returns on investment, and stronger savings and employee satisfaction. What sets them apart is not just their swift adoption, but how deeply they embed AI into the core of their businesses. They treat AI not as an experiment, but as a strategic capability woven throughout their operations to deliver tangible business value.

And the payoff is real. When AI is implemented pervasively—with the right data foundation and governance—projects consistently meet or exceed ROI expectations. In short, AI works best when it is built in, not bolted on.

SAP is proud to partner with so many of these innovators. Today, more than 34,000 SAP customers are running AI-augmented processes in their daily operations—eliminating silos, streamlining decision-making, and building on a trusted and strong data foundation that positions them to scale.

SAP’s approach: AI embedded across applications

As we have innovated alongside some of the world’s leading brands, we have learned that a piecemeal approach creates complexity, slows decision-making, and undercuts ROI. That is why SAP Business AI is embedded directly into every business process, and helps every business leader, regardless of their role—in finance, supply chain, spend management, sales, service, and more—with intelligent reasoning and actions exactly where and when they need it.

Our AI-first, suite-first product strategy reimagines business processes, with AI built in from the start, to help our customers accelerate business outcomes. This approach includes the following:

• Complete enterprise context
  AI is embedded directly into the suite across every business function so users to make more confident decisions, and drive enterprise-wide outcomes, grounded in business data that instantly adapts to new information.
• Full omnipresent experiences
  Customers can proactively maximize the value of their AI investment with AI across every part of their business. And with Joule, every employee experiences one singular interface for all the AI capabilities that seamlessly integrate into their SAP systems, elevating the flow of work.
• Unmatched agent-driven efficiency
  Businesses across industries can solve highly complex, pressing challenges and unlock transformative new capabilities through Joule agents that work across your entire business—with transparency and security.
• Built to scale with your business
  SAP Business AI is built to scale with your business. There are already over 200 AI use cases embedded across SAP solutions today—with 400+ planned by the end of 2025—spanning finance, supply chain, manufacturing, HR, customer experience, and more. This scalable design means companies can quickly expand intelligence to new areas, fast. And drive innovation at enterprise scale.

SAP Business AI is built into the systems that power the world’s top enterprises and can be customized, through the SAP Business Technology Platform (SAP BTP) to extend business processes. The result is the delivery of immediate value. Its deep integration allows information and insights to flow seamlessly across departments, so decisions can be made, and actions can be taken, at the right time. The results are greater efficiency, agility, and innovation. And in addition, it’s also responsible. Our AI is built on leading ethics, data privacy, and security standards while ensuring compliance. 

Financial management

Enterprises worldwide rely on SAP S/4HANA and related solutions to run core finance and operations. With SAP’s AI embedded in these systems, organizations are automating routine tasks, gaining predictive insights, and standardizing processes across the board. The following stories show how companies use AI within SAP’s ERP, analytics, and finance solutions to streamline corporate operations from financial close and cash management to cross-department workflows—driving efficiency and better decision-making at the executive level.

• BayWa AG leverages SAP S/4HANA Cloud and SAP Business Technology Platform with integrated AI to automate tasks and improve efficiency across the agribusiness enterprise. By reducing manual work and even training time (accelerating employee onboarding), BayWa frees up teams to focus on innovation, helping them stay competitive in dynamic markets.
• Juniper Networks maximizes its agility and innovation potential using advanced planning and analytics capabilities in SAP Analytics Cloud, supported by SAP Preferred Success services. With AI-driven forecasting and what-if analysis, Juniper improved its operational planning across finance and supply chain, enabling quicker, insight-based decisions in the high-tech market.
• NTT DATA Business Solutions enhanced its software development efficiency using SAP’s AI technology in the new Joule copilot. NTT DATA smoothly integrated AI across key solutions, including the SAP SuccessFactors portfolio, demonstrating how SAP’s platform can infuse AI into both internal processes and customer-facing services.
• Winterhalter Gastronom GmbH eases its accounting team’s workload by using SAP Cash Application’s intelligent automation. The machine learning in SAP Cash Application matches payments to invoices automatically, reducing administrative effort, while allowing staff to handle higher volumes and focus on exception cases and higher-value tasks.
• Wieland Group implements SAP S/4HANA Finance with machine learning in SAP Cash Application to automate bank statement processing. By reducing manual reconciliation and capturing customer-specific payment patterns, Wieland has freed finance resources for more strategic activities, accelerating the financial close and improving accuracy.
• SICPA transitioned from SAP ECC to SAP S/4HANA with zero loss of functionality while unlocking innovations. With the extensive AI and automation potential of the S/4HANA platform, SICPA (a security inks provider) is adding value to the business through improved processes and real-time analytics in its core operations.
• Mercedes-AMG PETRONAS Formula One Team leverages SAP S/4HANA Cloud with embedded AI to optimize resources and budgeting, while also streamlining supply chain operations for the F1 team. This integrated approach drives performance gains both on and off the track—ensuring the championship-winning team runs as efficiently in the garage and front office as it does on the race circuit.
• Zalando Payments GmbH uses SAP S/4HANA, SAP Datasphere, and SAP’s machine learning capabilities to forecast payment volumes and detect anomalies. These predictive insights help Zalando improve the customer payment experience and reduce risk for both shoppers and the business, strengthening trust in the online fashion platform’s financial services.
• Accenture leverages SAP Business AI to transform its cash flow management. By deploying AI models on financial data, Accenture achieved near real-time liquidity analysis and improved decision-making for its global finance teams, optimizing working capital management across its operations.
• Western Sugar Cooperative uses SAP Ariba Central Invoice Management and SAP S/4HANA Cloud Public Edition to automate supplier invoice processing and improve financial visibility. By leveraging AI, the company accelerates invoice approvals and eliminates manual inefficiencies, achieving a 25% reduction in processing time and cutting costs per invoice from $8 to $6.

Spend management

SAP’s spend management solutions—covering procurement, travel and expense, and external workforce management—embed AI to drive efficiency, compliance, and cost savings. These stories illustrate how AI in SAP Ariba, SAP Concur, SAP Fieldglass, and related tools are helping organizations automate invoice processing, optimize purchasing, and enforce policies. With SAP’s intelligent spend management, businesses get better visibility into spend and can manage finances proactively.

• Chobani, the U.S. yogurt maker, uses SAP Concur (with SAP Business AI embedded) to automate expense processes. The AI eliminates manual receipt work, cutting documentation time by 75%, improving policy compliance, and streamlining auditing—resulting in greater financial efficiency.
• Merck leverages SAP Concur with AI-powered Intelligent Audit to streamline global expense reporting. Automated audits and receipt analysis improved policy compliance and reimbursement speeds across 75 countries, freeing Merck’s managers to focus on strategic priorities instead of expense details.
• American Eagle Outfitters (AEO) uses SAP Business Network for Procurement and SAP Ariba to automate and standardize purchasing. By digitizing supplier interactions and enforcing compliant purchasing protocols across the company, AEO simplified procurement processes and improved spend control.
• Smith & Nephew streamlined its employee expense process with SAP Concur. By automating audits and leveraging AI insights, the company eliminated the need for manager approval on every report while increasing review accuracy from 77% to 98%, ensuring compliance and saving managers’ time.
• George Washington University uses SAP Concur solutions to automate financial workflows for travel and expenses. The AI-driven system enhances spending visibility, improves vendor relationships, and has significantly reduced paper usage, supporting GWU’s accountability and sustainability goals.
• Corio Generation, the global offshore wind developer, uses SAP Concur with AI to automate expense management. The system categorizes expenses, analyzes receipt images, and flags policy violations automatically—enhancing efficiency, user satisfaction, and compliance in Corio’s expense reporting.
• Accenture reimagined its end-to-end intelligent supply chain by leveraging SAP’s spend management suite, including SAP Ariba Buying and Invoicing, SAP Business Network, and SAP Fieldglass. The AI-enabled procurement and external workforce solution achieved 77% faster integration speeds, a 7% improvement in auto-clearing of invoices, and overall higher performance in Accenture’s internal procurement processes.
• Gallagher implemented SAP Concur to streamline expense management across its global operations. The AI in Concur helped Gallagher eliminate paper receipts and automate approvals, which not only saved time but also lowered the company’s carbon footprint, earning positive feedback from employees.
• Nestle transformed its travel and expense management process, significantly reducing manual tasks. Employees can now submit expense claims easily, speeding up reimbursement times. With a successful global rollout, automated travel expense management has ushered in a new era of control. The business now approves 100% of expense reimbursements electronically, achieving a threefold increase in employee efficiency for creating expense reports and eliminating all manual expense processes.

Supply chain management

SAP’s supply chain solutions embed AI and machine learning to optimize planning, forecasting, logistics, and inventory management. These stories show how companies use SAP Integrated Business Planning (IBP) and other AI-powered supply chain tools to anticipate demand, streamline operations, and become more resilient. With AI woven into supply chain processes, businesses can respond in real time, reduce costs, and better align supply with customer demand.

• DMK Deutsches Milchkontor GmbH enhances sustainable dairy production with improved data forecasting using SAP Integrated Business Planning for Sales and Operations. AI-driven planning helps DMK balance supply and demand more accurately in its milk production network.
• ASR Group uses SAP AI and predictive analytics to optimize freight pricing and trucking routes. By forecasting demand and transit variables with 95% accuracy over 30 days, ASR reduced logistics costs and generates trucking predictions in seconds, boosting supply chain efficiency.
• Blue Diamond Growers runs SAP S/4HANA, SAP Signavio, and SAP Integrated Business Planning with embedded AI to unify demand, supply, manufacturing, and logistics planning. This integrated planning platform creates a single source of truth for operations, streamlining Blue Diamond’s end-to-end supply chain.
• Coca-Cola Europacific Partners (CCEP) realized a 6% increase in forecast accuracy using SAP Integrated Business Planning. The AI-driven planning reduces ordering shortfalls and overstock, cuts purchasing costs, and improves case fill on-time performance across Coca-Cola’s diverse markets.
• BSH Hausgeräte GmbH increased reliability in matching supply with demand through SAP Integrated Business Planning. AI models in IBP enable BSH, a leading appliance maker, to better predict customer needs and align production, reducing stockouts and excess inventory.
• Mabe S.A. de C.V. uses SAP Business Network and SAP Integrated Business Planning with AI algorithms to predict demand and streamline supplier collaboration. By enhancing production planning across global operations, Mabe improved forecast accuracy and synchronized its supply chain with real-time insights.
• Hyundai Mobis optimizes global inventory and service part levels using SAP Integrated Business Planning for Inventory. AI capabilities help Hyundai Mobis ensure the right automotive parts are in the right place, improving service rates while reducing excess stock worldwide.
• Smart Press Shop GmbH uses SAP Digital Manufacturing with AI-powered visual inspection to improve factory quality assurance. The system automatically detects defects on the production line, helping Smart Press Shop optimize production processes and enhance manufacturing precision and performance for its press shop operations.
• Schaeffler Group employs SAP Returnable Packaging Management with AI to predict packaging demand and automate inventory management. This ensures the efficient reuse of containers, reduces delivery failures, and improves collaboration with suppliers and customers through a smarter packaging supply loop.
• Microsoft transformed a reactive, high-touch supply chain into a real-time, predictive model with SAP IBP for Supply Chain. By embedding AI in planning, Microsoft substantially reduced finished goods inventory and proactively mitigates inventory risks in its global hardware business.
• Roca Group leverages SAP IBP for Supply Chain to anticipate demand for specific products and adjust production accordingly. AI-driven demand sensing at Roca ensures building products are manufactured in the right quantities, aligning inventory with market needs.
• Votorantim Cimentos utilizes SAP Integrated Business Planning with AI to optimize supply chain planning and demand forecasting. The cement manufacturer achieved precise inventory management, lower costs, and faster decision-making by letting AI augment its planners’ insight.
• Coop Norge automates demand forecasting and inventory replenishment using SAP Forecasting and Replenishment with built-in AI. This grocer improved store efficiency and product availability on shelves while balancing costs and margins, ensuring customers find what they need.
• Schwarz IT (Lidl & Kaufland) harnesses SAP Customer Activity Repository and SAP Forecasting and Replenishment with AI-driven tools to sharpen demand transparency and forecasting accuracy. The result is better customer service and less waste, supporting Schwarz Group’s sustainability goals in retail.

Human capital management

SAP SuccessFactors and other human capital management solutions embed AI to help organizations recruit, develop, and retain talent more effectively. The following stories demonstrate how AI is used for writing better job descriptions, matching candidates, personalizing learning, and building skills-based organizations. With SAP’s AI in HR, companies can improve the speed and effectiveness of hiring processes and empower employees with tailored career development, all while reducing administrative burdens on HR staff.

• Mahindra & Mahindra leverages generative AI in SAP SuccessFactors (integrated with Microsoft Teams) to streamline recruiting. The AI automatically generates job descriptions and interview questions, significantly reducing hiring cycle time and improving the quality of candidate engagement, which enhances overall HR efficiency for the automotive conglomerate.
• CONA Services, LLC, Coca-Cola’s North America IT services arm, uses SAP SuccessFactors with SAP Business AI to make recruiting more efficient. Intelligent filtering and recommendations help CONA quickly identify top candidates, reducing time-to-hire and freeing HR teams to focus on engaging with talent.
• Uniper (HR) uses RISE with SAP S/4HANA Cloud in conjunction with SAP SuccessFactors to modernize its HR processes. AI is applied for job profiling and candidate matching, as well as for personalized employee training recommendations. This has streamlined Uniper’s recruitment, payroll, and talent development, while improving HR analytics and employee satisfaction.
• Galicia, a banking institution, uses generative AI capabilities in SAP SuccessFactors to reduce the time needed to validate and finalize job descriptions. AI assistance improved efficiency for HR staff and enhanced the consistency and attractiveness of job postings, contributing to better candidate responses.
• Darussalam Assets utilized SAP SuccessFactors solutions embedded with AI to cut recruitment time by 75%. By automating resume screening and leveraging AI-driven insights for candidate scoring, Darussalam Assets, a sovereign wealth fund, streamlined its hiring process and enabled  more personalized learning and development once candidates became employees.
• Delta Air Lines uses the Talent Intelligence Hub in SAP SuccessFactors to create dynamic, skills-based employee development experiences. Each Delta employee benefits from AI-driven, personalized growth portfolios that align their current skills with tailored learning opportunities, supporting continuous development and career progression at scale.
• Grundfos leverages SAP SuccessFactors solutions to transition toward a skills-based organization. AI helps the company identify skill gaps and to recommend training for employees, enhancing talent management and addressing skills shortages with personalized development plans—improving employee experience at the global pump manufacturer.
• FC Bayern Munich, the world-renowned football club, integrated SAP Business AI within its SAP SuccessFactors suite to speed up hiring. FC Bayern’s HR team now uses AI to generate job descriptions and relevant interview questions, accelerating recruiting processes and ensuring the club secures talent quickly to support its 1,000+ employees.
• Frit Ravich S.L. uses SAP SuccessFactors HCM with the Joule copilot to test the AI-enabled capabilities embedded in the SAP SuccessFactors Recruiting solution to transform skill matching and skill inference in recruiting and talent attraction. This helps its recruiters find and screen the best candidates more efficiently while also giving candidates a better way to apply for the right opportunities for them, based on their skills.

Customer experience

SAP’s customer experience solutions—spanning marketing, sales, commerce, and service—embed AI to personalize engagement and improve customer satisfaction. In these stories, companies use AI-driven recommendations, predictive analytics, and intelligent automation within SAP Customer Experience products, like SAP Emarsys, SAP Commerce Cloud, SAP Sales & Service Cloud, to boost revenue and loyalty. SAP’s AI helps businesses better understand their customers and respond faster, creating more meaningful relationships at every touchpoint.

• Gibson Brands uses SAP Emarsys Customer Engagement to build omnichannel experiences and predict customer behavior in the music industry. By leveraging AI-driven segmentation and recommendations, Gibson creates a unified view of each customer, driving loyalty among musicians and shoppers across all channels.
• Bosch Power Tools uses SAP Service Cloud and embedded AI to automatically handle millions of service tickets annually, improving first-touch accuracy, response times, and service consistency. This shift from static routing rules saves thousands of work hours, optimizes costs, and boosts productivity. Bosch is also testing Joule integration with SAP S/4HANA, and developing custom AI applications on SAP BTP, to further drive efficiency and cost savings.
• Miele implements SAP Commerce Cloud and SAP Sales Cloud with AI-powered pipeline management and personalized product recommendations. This optimizes Miele’s sales processes and decision-making, while enhancing B2B customer experiences with tailored offerings and efficient, AI-guided sales cycles.
• PUMA uses SAP Emarsys Customer Engagement with AI-driven predictions to personalize marketing campaigns and omnichannel outreach. PUMA’s marketing team can quickly adjust to changing customer behaviors with automated insights, reducing manual analysis and increasing engagement in real time.
• Salling Group deploys SAP Emarsys with AI-powered automation to activate its first-party customer data. By creating personalized omnichannel experiences—from targeted emails to tailored web content—Salling Group drives higher customer engagement and loyalty, fueling e-commerce growth for its retail brands.
• The ALDO Group Inc. uses SAP Commerce Cloud, SAP Emarsys, and SAP Customer Activity Repository in tandem to integrate e-commerce with in-store data. This gives ALDO real-time inventory visibility and demand forecasting, while AI in Emarsys personalizes marketing content. The result is a seamless customer experience and more effective promotions tailored to shopper preferences.
• Deutsche Börse Group utilizes SAP Service Cloud, SAP Sales Cloud, and SAP Marketing Cloud (running on SAP S/4HANA Cloud) with embedded AI and machine learning. This allowed Deutsche Börse to automate many customer-facing workflows, standardize sales and marketing processes, and greatly enhance customer service—setting new benchmarks in customer experiences.
• Kaeser Kompressoren uses the SAP Intelligent Product Recommendation application to assist its sales teams. AI analyzes each customer’s requirements and usage patterns to suggest the most suitable compressor configurations, reducing the time needed to create quotes and ensuring customers get optimal, personalized solutions.
• Maschinenfabrik Reinhausen (MR) implements SAP Intelligent Product Recommendation with machine learning to streamline complex product configuration in sales. MR’s salespeople can now quickly assemble tailored transformer solutions for customers, cutting the time to generate sales quotations and meeting customer needs more efficiently.
• Sybit GmbH uses SAP Sales Cloud with AI-driven insights to analyze customer data and predict buying behavior. By providing personalized recommendations to sales reps, Sybit boosted its lead-to-order conversion rates, improved sales forecasting accuracy, and drove stronger revenue growth for its clients, showcasing the impact of AI in sales automation.
• IXOM leverages SAP Customer Experience solutions, including SAP Emarsys and SAP Sales Cloud, to streamline B2B sales operations and enhance customer engagement. By integrating SAP Commerce Cloud with its full SAP suite, and leveraging AI-driven services, IXOM eliminates data silos, improves lead generation by 92%, and enables targeted and automated B2B communications. AI-powered insights also enhance customer interactions by optimizing content and engagement strategies.

Business technology platform

SAP Business Technology Platform (SAP BTP) brings together application development, automation, data management, analytics and planning, integration, and AI capabilities into one unified environment optimized for SAP applications.

These stories highlight how organizations leverage AI capabilities (including Document Information Extraction, generative AI hub in SAP AI Core, SAP Build, and SAP HANA Cloud vector engine) within SAP’s unified, business-centric platform to innovate processes, automate tasks, and gain new insights. SAP BTP  provides a foundation for custom applications and enterprise-wide intelligence, all governed and secured within the business context.

• Natura&Co used SAP Business Technology Platform and SAP HANA Cloud’s vector engine to create an AI-driven similarity search, allowing users to extract information from large volumes of documents using natural language, accelerating insights from unstructured data.
• Orbico Group utilized SAP BTP with AI-powered SAP Build Process Automation and Document Information Extraction to streamline document management. By deploying bots for data capture and processing, Orbico improved access to information for business users.
• City of Hamburg employed SAP Document Information Extraction and Business Entity Recognition (AI services on SAP BTP) to automatically evaluate and classify over 2.7 million documents. This prevented fraud through real-time transparency and ensured quick financial support for the cultural sector during the COVID-19 pandemic.
• City of Hamburg (second use case) launched a financial aid application platform in just two weeks using SAP BTP, SAP AI Services, and other solutions. This generative AI-enabled platform efficiently processed nearly 100,000 subsidy applications during an energy crisis, showcasing agile innovation with SAP’s AI and platform tools.

• Martur Fompak International, a leading automotive supplier, focused on reducing carbon emissions, created a data and metaverse platform by integrating RISE with SAP (SAP S/4HANA), SAP Sustainability Footprint Management, and SAP Manufacturing solutions (ME/MII), and by leveraging SAP AI Launchpad, SAP AI Core, and SAP Build. The integrated platform provides AI insights and embeds carbon emission values into every decision
• Sony Pictures Network India powered its digital transformation with SAP S/4HANA and SAP Business Technology Platform. By embedding AI and automation into core processes, Sony streamlined enterprise workflows and future-proofed operations—providing an engine for ongoing innovation, scalability, and success.
• AGILITA AG used SAP’s AI technology to develop a mobile app that streamlines customer visit management. The solution produced a 30% faster maintenance of customer visit data and a 50% improvement in data quality, showing how SAP’s platform can rapidly deliver AI-powered business applications. It is built on SAP Business Technology Platform and incorporates SAP HANA Cloud, the SAP AI Core infrastructure, and with generative AI hub capability.
• Accenture developed an intelligent virtual assistant for financial leaders by combining human expertise, SAP solutions, and AI technologies. This AI assistant (built on SAP Business Technology Platform) streamlines the creation of financial narratives and provides live alerts on key financial metrics, augmenting decision-making in real time.
• Team Liquid leverages SAP Business AI and an AI-powered draft analytical tool to revolutionize esports strategy and training. By analyzing competitors and game data with SAP’s platform-driven AI, Team Liquid saves up to 10,000 hours of manual work annually and significantly reduces match preparation time.
• World Sailing uses SAP HANA Cloud and SAP AI Core in SAP BTP to deliver real-time analytics during sailing events. By processing GPS and wind data with embedded AI, World Sailing enhances race result accuracy and provides richer, faster insights to improve fan experiences.
• Spirit Energy charts new paths in operational safety and compliance using SAP BTP. In potentially explosive oil-and-gas environments, Spirit Energy built AI-driven solutions on SAP’s platform to monitor conditions and ensure safety excellence, demonstrating the power of SAP’s AI to address industry-specific challenges.
• PILLER Blowers & Compressors streamlined various workflows by building extensions on SAP Business Technology Platform. PILLER automated routine tasks like visitor management and data extraction with AI services, improving employee experiences and productivity through an AI-augmented workplace.
• Colsubsidio integrates on-premise and cloud systems using SAP BTP and SAP HANA Cloud, creating a unified data foundation. With AI-driven analytics and dashboards, Colsubsidio improved system stability and enabled advanced reporting, illustrating how SAP’s platform can harmonize data and inject intelligence into enterprise reporting.
• HomeMade powers its self-service Home Care Package management platform with SAP BTP. By embedding AI in its solution, HomeMade achieved 10x faster client onboarding and 2x quicker reimbursements, while delivering services for seniors at half the cost of competitors—all through SAP’s secure, scalable AI platform.
• PricewaterhouseCoopers (PwC) leverages SAP HANA Cloud and its built-in vector search engine to simplify the management of complex supplier networks. Using AI-driven data management on SAP’s platform, PwC enabled smarter supplier analytics and matchmaking, showcasing innovation in procurement processes through technology.
• Döhler co-innovated with SAP to apply AI technologies across its business processes and workflows. By working closely with SAP’s experts and platform capabilities, Döhler transformed legacy operations – improving efficiency and setting the stage for new intelligent business models in the consumer products sector.
• Henkel uses the “Just Ask” natural-language query feature in SAP Analytics Cloud to drive more efficient global marketing campaigns across its value chain. By simply asking questions and getting AI-generated insights, Henkel’s teams reduced planning time.
• AMD built a GenAI Supply Chain Troubleshooter on SAP BTP to simplify complex supply chain interactions. This AI assistant reduced issue resolution time and costs by 90%, saving 3,120 hours of staff effort annually, and demonstrates how generative AI can dramatically streamline supply chain management.
• Industrielle Werke Basel (IWB), a utilities and energy solutions supplier, uses SAP Datasphere, SAP Analytics Cloud, and machine learning on SAP BTP to generate granular energy demand forecasts. This allows them to ensure a reliable power supply, by predicting usage patterns while showcasing the impact of renewable investments—all through AI-enhanced planning.
• FLO Mağazacılık ve Marketing harnesses SAP Business Technology Platform and SAP HANA Cloud with embedded machine learning to streamline its product return processes. By automating return logistics and analyzing patterns, FLO improves customer service and shapes a more efficient, AI-driven reverse supply chain in footwear retail.
• Moris Sp. z o.o. uses SAP S/4HANA together with AI-powered SAP Build Process Automation to streamline its production, sales, and operations processes. This harmonization simplifies the product lifecycle from sales order to product checkout, eliminating manual steps and ensuring a smoother end-to-end process in manufacturing and fulfillment.
• Sonalika International Tractors Ltd. uses SAP Build Process Automation (on SAP BTP) with AI (OCR and smart bots) to achieve 100% automation of accounts payable workflows. By automating invoice data entry and validation, Sonalika streamlined invoice processing and significantly enhanced operational efficiency in finance.
• De Agostini Publishing employs SAP Business Technology Platform with SAP AI Business Services to automate over 91% of PO-based invoices and 80% of non-PO invoices. Intelligent invoice processing saves 680+ hours monthly and helps De Agostini quickly adapt to market and regulatory changes in finance.
• Uniper built a “Perfect Purchase Requisition” app, and extended SAP Ariba, using SAP Build Work Zone and SAP BTP’s generative AI capabilities (with SAP HANA Cloud vector engine). This AI-powered app automatically validates and corrects purchase requisitions, speeding up procurement cycles and improving data quality before orders go out.
• Phoron uses SAP Business Technology Platform and SAP S/4HANA with AI-powered invoice processing to digitalize accounting. Phoron’s solution automates data extraction from invoices and enhances purchase-order reconciliation and exception handling, significantly improving efficiency and accuracy in accounts payable.
• Jay-Be uses SAP Business ByDesign (cloud ERP) together with SAP Build Process Automation, SAP AI Business Services: Document Information Extraction, and SAP Sustainability Footprint Management to run its operations with intelligence and transparency. Jay-Be automated key processes and now measures product carbon footprints alongside handling 1,200 orders weekly—improving customer service, productivity, and sustainable decision-making.
• petZEBA AG implemented the AGIL AI.Sales app, as one of the first customers, leveraging different SAP BTP AI capabilities such as SAP AI Core, generative AI hub, and SAP HANA Cloud vector engine, to transform its Sales Process. Since its implementation, this new intelligent solution saved the petZEBA sales teams significant time and enabled a 55% increase in customer visits.
• Martur Fompak International integrates advanced SAP solutions (RISE with SAP, Sustainability Footprint Management, SAP ME/MII) with SAP AI Launchpad and AI Core to embed carbon footprint data into every stage of the automotive product lifecycle. By doing so, Martur Fompak ensures that product design and manufacturing decisions consider sustainability, marrying AI-driven analytics with the company’s design-to-operate lifecycle.
• Suncor Energy Inc. developed a hyper-automation solution using SAP Build Process Automation solution, SAP AI Core, SAP HANA Cloud and SAP Fiori user experience to automate intercompany tax processes. This significantly improved the efficiency and productivity of Suncor’s tax department, enabling the team to focus on more strategic tasks.
• Siemens Healthineers AG  implemented the Business Technology Platform—based Translation Hub to tackle the challenge of translating a large volume of text elements. This solution streamlined the translation process, significantly reducing the workload for local users and business terms. The Translation Hub also ensures translation meets specific business needs through an automated workflow, enhancing efficiency and accuracy.
• SA Power Networks revolutionized its operations with generative AI and SAP Business Technology Platform. Custom apps have delivered rapid insights to field crews, while Joule's natural language interaction with SAP SuccessFactors has saved 75 hours on average. Leveraging 50 years of asset history, they ensure safe operations, saving over $A1 million annually and achieving a 99% success rate in identifying poles unlikely to corrode.
• Cirque du Soleil created a generative AI assistant that streamlines and automates the processing of invoices. They achieved a 25% reduction in requests backlog and saw an improvement of 97% in handling urgent requests.