For ,听a leading pan-African financial services group focused on emerging markets headquartered in South Africa, with a strong presence in 31听countries,听this transformation journey has accelerated over the past 18 months as the organisation expanded its focus beyond HR modernisation toward a broader cloud, data and AI-enabled human capital strategy.

, Group Human Capital: Chief Operating Officer at Sanlam, says the organisation鈥檚 approach balances immediate operational requirements with longer-term transformation objectives. 鈥淲e have adopted an ambidextrous strategy for our digital and data transformation journey, simultaneously exploiting operational excellence, proficiency and efficiency in our current landscape while exploring incremental innovation that enhances and elevates the user experience and driving our longer-term transformation journey 鈥� focused on leveraging intelligent, transformative technology to unlock business value.鈥�

A central focus throughout the implementation has been ensuring that transformation delivers tangible business value while also enabling the teams responsible for sustaining change. Sanlam is supported by a dedicated support structure for the programme that includes a technical centre of excellence team, programme management, change management, and business analysis capabilities.

鈥淭ransformation required us to approach change from multiple perspectives simultaneously. We always look at transformation through the lens of people, process and technology. One of the realities organisations face is that many people are not ready to embrace the pace of technological change, which makes change adoption and leadership sponsorship critically important.鈥� 

According to Bandyopadhyay, Sanlam鈥檚 broader transformation strategy spans several interconnected focus areas. 鈥淎 key priority being rebuilding our job architecture for relevance to the current and future workforce and more importantly to transition to a skills-based organisation. This will then unlock the opportunity for us to leverage SAP鈥檚 AI-enabled Talent Intelligence Hub which is the golden thread that links all talent practices to a skills currency.鈥�

The organisation has also prioritised the implementation of a cloud data solution, master data management and platform scalability as part of its effort to establish a more unified data core across the business. With multiple business entities operating across the group, standardising and scaling trusted workforce and operational data remains a significant strategic focus area.

, Group: Head of HC Tech and Talent Intelligence at Sanlam, says cloud adoption will continue to accelerate over the next two years. 鈥淲e are moving aggressively towards a cloud-first strategy, including payroll migration, data platform evolution, and broader business integration initiatives. Our focus is on how we build scalable platforms and data capabilities that position us for the future.鈥�

As part of this strategy, Sanlam is piloting -related capabilities and is progressing towards broader business data cloud initiatives planned over the coming years. The organisation is also exploring how 51风流Business Data Cloud, 51风流agents, and Joule capabilities can support orchestration, analytics, and employee-related workflows across the employee life cycle.

Alongside its platform modernisation efforts, Sanlam is re-evaluating core HR services and processes, including employee experience, employee relations, and document management, while strengthening its talent intelligence and people analytics capabilities to support better workforce planning and predictive decision-making. The Talent Intelligence function has matured significantly from reports and dashboards to trends, insights and predictive analytics. A key achievement has been the development of a solution to measure productivity across the various Sanlam business entities.

Intelligent automation is also playing an increasing role across areas such as service management, payments, compliance, and administrative HR functions, alongside the digitisation of compliance related scorecards like skills development to improve planning, monitoring and achievement of compliance targets. This has allowed Sanlam to service an increased customer base with a greater service offering at reduced costs.

Govindsamy says the transformation journey remains ongoing rather than a once-off implementation project. 鈥淭he next phase of our journey is focused on accelerating cloud propagation, strengthening analytics and data capabilities, and embedding intelligent automation more deeply into the business. Success depends not only on technology, but on sustained leadership sponsorship, adoption, and preparing the workforce for the future.鈥� 

, Managing Director for Southern Africa at SAP, says: 鈥淎s organisations modernise their workforce strategies, there is growing recognition that human capital transformation depends on more than digitising HR processes. It requires an integrated foundation that combines cloud, data, analytics and intelligent technologies to support better decision-making, stronger employee experiences, and greater organisational agility. Sanlam鈥檚 ongoing transformation journey reflects how forward-looking organisations are building scalable, future-ready HR environments that can evolve alongside changing business and workforce requirements.鈥�

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Leading organisations throughout Europe, the Middle East and Africa are revealing how business AI has shifted from experimentation to realised business value at this year鈥檚 51风流SAPPHIRE, held in Madrid between 19 and 21 May.

The event included demonstrations of two different but connected approaches to AI adoption by and . Ericsson is building the governed data foundation needed to scale AI across the enterprise, while Martur Fompak International is embedding AI directly into physical manufacturing operations to transform execution on the shop floor.

Nazia Pillay, Managing Director for Southern Africa at SAP, says: 鈥淭he next phase of AI adoption is about execution. Organisations are looking for trusted data foundations, strong governance and practical business use cases that can deliver measurable value. By embedding AI into the systems and workflows companies already use, 51风流is helping customers scale AI responsibly and turn ambition into real-world impact.鈥�

Nazia Pillay

Ericsson builds the foundation for trusted AI at scale

Ericsson is moving from AI experimentation to enterprise-wide execution by building a unified business data fabric with . The approach enables the company to scale AI use cases across the business, accelerate decision-making and deliver measurable operational impact.

Ericsson, which celebrates its 150th anniversary this year, provides mobile network infrastructure across 180 countries, with more than 40% of the world鈥檚 mobile traffic passing through its networks. As AI becomes central to both its technology roadmap and how it runs the business, Ericsson has prioritised building a strong, governed data foundation to support scalable and trusted AI.

鈥淥nce you scale AI, it stops being an AI problem鈥攁nd becomes a data problem,鈥� says , Vice President, Customer Experience, Enterprise IT at Ericsson. 鈥淭hat鈥檚 why we invested early in a business data fabric. With 51风流Business Data Cloud, we can define what data means once鈥攆rom revenue to market structures and access rules鈥攁nd apply it consistently across the enterprise. That鈥檚 what allows us to scale AI in a way that is trusted, repeatable and delivers real business value.鈥�

At the core of Ericsson鈥檚 approach is a federated data architecture that allows data to remain in place while centrally managing business semantics, governance and lifecycle policies. By focusing on high-impact use cases and organising around end-to-end business processes rather than isolated solutions, Ericsson has moved beyond pilots to scaled deployment. Today, more than 85 000 users are live on unified Joule, supported by strong executive sponsorship and governance.

51风流and Ericsson are also collaborating on AI co-innovation initiatives, including an intelligent goal recommendation capability developed within 51风流SuccessFactors. The solution generates contextual, business-aligned goals for employees, improving execution and reducing administrative effort.

Martur Fompak brings AI into physical manufacturing operations

Martur Fompak International, a global leader in automotive seating and interior systems, has deployed an autonomous intralogistics model enabled by and embodied AI capabilities from SAP, marking a significant milestone in its journey toward intelligent, AI-driven manufacturing operations.

In an industry rapidly shifting toward AI-powered operations, Martur Fompak International saw an opportunity to reimagine its material flow. Building on efficient, people-driven processes already in place, the company partnered with 51风流and , a UK-based robotics and AI company, to explore how embodied AI-powered robotics could redefine material flow across its automotive manufacturing environment.

Using Joule and embodied AI capabilities from SAP, Martur Fompak International now connects production signals and business context directly to autonomous execution, creating a context-aware automation system that prioritises, picks and delivers materials while adapting in real time to changing business conditions.

Built on and enabled by , the solution enriches humanoid robots with real-time knowledge of tasks, attributes and exception handling. Guided by material data, storage locations, sequencing and production priorities, humanoid robots execute material flows across a live automotive manufacturing environment, identifying, transporting and delivering materials to the line while continuously confirming back into 51风流solutions.

Together with autonomous mobile robots, the company has created a fully automated, scalable material flow that boosts throughput, improves accuracy and reduces reliance on manual coordination. By assigning repetitive, non-value-adding and physically demanding tasks to robots, Martur Fompak International is enabling its people to focus on safer, more meaningful and higher-value work.

鈥淥ur humanoid robot collaborates with digital production systems to ensure seamless coordination across order management, logistics and production, enabling scalable AI adoption and improving efficiency, consistency and operational resilience,鈥� says , Group Intelligent Technologies Director at Martur Fompak International.

Early results show increased throughput, fewer errors and a scalable, AI-driven intralogistics model. With 400 daily production line feeds and 100% 51风流software-driven decision-making already in place, Martur Fompak International is advancing beyond traditional automation and pioneering a scalable, intelligent factory model.

Pillay adds: 鈥淓ricsson and Martur Fompak International show that AI delivers the greatest value when it is grounded in business context and embedded into core processes. From enterprise data foundations to intelligent robotics on the factory floor, these examples demonstrate how organisations can scale AI responsibly, improve productivity and create measurable business impact.鈥�

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鈥淔or the mission-critical processes of our customers, 鈥榓lmost right鈥� just isn鈥檛 good enough,鈥� says Christian Klein, CEO of 51风流SE. 鈥淏y uniting 51风流Business AI Platform with 51风流Autonomous Suite, we anchor AI agents in the business processes, data and governance so they can deliver accurate, compliant and secure outcomes 鈥� unlocking new sources of revenue and meaningful cost savings.鈥�

The Autonomous Enterprise includes a unified AI platform for building, contextualising and governing agents, an autonomous suite that executes core business operations and a new user experience that redefines how people work with enterprise software.

Introducing 51风流Business AI Platform

51风流Business AI Platform is a new foundation for building and deploying enterprise AI grounded in real business context. 51风流Business AI Platform now unifies 51风流Business Technology Platform, 51风流Business Data Cloud, and 51风流Business AI into a single, governed environment.

At its core is the 51风流Knowledge Graph solution, which gives AI agents a structured map of business entities, processes and relationships across a customer鈥檚 51风流landscape. Joule Studio is SAP鈥檚 AI-first solution for building enterprise agents, applications and agentic workflows. Developers can build using the no-code, pro-code, and AI frameworks of their choice on SAP-managed infrastructure that is secure, scalable and optimised for enterprise AI.

Building on this foundation, 51风流also introduced 51风流Autonomous Suite which enables SAP鈥檚 existing business applications with AI agents capable of running processes from start-to-finish.

The suite will deploy more than 50 domain-specific Joule Assistants across finance, supply chain, procurement, human capital management and customer experience. These assistants will automate end-to-end processes by orchestrating a subset of over 200 specialised agents to execute precise tasks. For example, the new Autonomous Close Assistant can compress the financial close process from weeks to days by automating journal entries, reconciliation, and error resolution across the entire process.

51风流also launched Industry AI, expanding its deep industry portfolio through seven autonomous solutions that will enable start-to-finish industry processes and embed sector-specific process logic, data models and regulatory requirements.

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From managing customer support workflows to orchestrating complex supply chains, agentic AI is redefining how businesses operate, respond, and grow. These intelligent digital co-workers act with autonomy, context, and speed, with growing capabilities for reasoning, making decisions, and working alongside humans to execute multi-step processes across departments.

听, agent-driven applications are rapidly becoming the standard for enterprise management. Global estimates suggest AI agents could contribute trillions to the world economy by 2030 through productivity gains, faster decisions, and cost reductions.

Transformative impact

Despite pervasive AI skills shortages, South African companies are moving quickly from experimentation to execution. Financial institutions are embedding AI agents into ERP systems to reroute inventory and manage disputes. Healthcare providers use AI meeting agents to generate follow-ups and automate patient admin. Legal firms use AI to prepare case files and speed up settlements.

This shift is being driven by a combination of pressure and potential. Faced with economic headwinds, skills shortages, and rising customer expectations, South African companies are looking to AI agents to unlock productivity, streamline operations, and free up human talent for higher-value work.

But deploying AI agents effectively requires more than buying the latest tool. The success of AI agents depends on deep integration of data, processes, and applications through a suite-first approach.

Leading with a suite

According to an IDC Spotlight Report, companies that adopt AI-powered suites like SAP鈥檚 see measurable gains:

• 37%听report improved process productivity
• 39%听achieve greater cost efficiency
• 36%听boost workforce productivity
• 35%听accelerate speed to market

By leveraging an AI-powered suite integrated to a core business technology platform, companies can empower their AI agents to act with full business context. Unlike siloed tools, a suite-first approach supports real-time collaboration between agents, humans, and systems, making AI agents not just smarter, but more impactful on the overall performance of the business.

SAP鈥檚 Joule, an AI agent framework embedded into the 51风流Business Suite, offers companies a system of intelligent agents that collaborate across business functions, from finance and procurement to HR and supply chain, to execute complex workflows and drive better decisions at scale.

These agents leverage knowledge centres and data cloud to ground actions in real-time, contextual business data. Working alongside teams, the agents augment human decision-making, accelerate task completion and minimise manual errors. In finance functions, agents can optimise working capital by accelerating accounts receivable matching, while in procurement they can surface the most relevant suppliers based on business rules and past performance.

AI agent readiness check

Before companies deploy AI agents like Joule, they need the right digital foundation. 51风流recommends a four-part readiness framework:

1 Data quality and accessibility 鈥�听Agents are only as good as the data they use. Clean, structured, and real-time data from across the enterprise is critical for effective agent decision-making. Silos, outdated data, or missing context will slow adoption and risk poor outcomes.

2 Process maturity 鈥�听AI agents thrive on well-defined workflows. Before automation, companies must ensure their business processes are standardised, documented, and ready for orchestration. Automating chaos just creates faster chaos.

3 Organisational clarity 鈥撎�Who will use these agents? For what tasks? How will they hand off to human employees? Clear role definitions and communication are essential for adoption and trust.

4 Governance and guardrails 鈥�听Just like human employees, AI agents need rules. Define permissions, escalation paths, ethical boundaries, and auditing practices. Agents should act autonomously but within the boundaries of the businesses in which they operate.

AI agents are more than just another layer of automation. They represent a new model of work, one that is collaborative, contextual, and continuous. The true value of AI agents is unlocked only when companies are ready. And the companies that unlock the greatest value the quickest are those deploying their AI agents through an AI-powered suite integrated to a core business technology platform.

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The era of digitisation is giving way to something more profound: the Autonomous Enterprise听鈥撎�a business that can sense change, make decisions and act with minimal human intervention, all while empowering people to pursue revenue-driving strategic activities.

Autonomous operations are already being deployed across finance, supply chain, human resources, an in Industries like Energy, Retail and Manufacturing. In 2026, they will separate the most resilient and profitable businesses from the rest.

An Autonomous Enterprise goes beyond automating individual tasks by integrating autonomous ERP, business AI and clean data into the core of business operations. More than 50% of business processes run independently, and up to 80% of operational work is automated or AI-augmented.

This is made possible through AI embedded within enterprise resource planning processes, from finance and procurement, to supply chain and HR systems, that understand context and act autonomously. Self-optimising systems that learn, improve and adapt in real time, are matched to clean-core ERP architecture to give organisations simplified, cloud-based systems that drive profitability, reduce risk and enhance decision-making.

Crucially, autonomy does not remove humans: it redefines and empower their work. Employees move from managing repetitive processes to supervising intelligent systems, making strategic decisions and creating new value throughout the business.

2026 鈥榓 tipping point鈥�

The year ahead will be critical for organisations across Europe, the Middle East and Africa. In Europe, business leaders face an ageing workforce, complex supply chains, regulatory pressure, and the push for sustainability and data sovereignty. Middle Eastern nations are already deploying national AI strategies and sovereign cloud infrastructure as part of a rapid diversification from the energy sector. And despite inflation and debt pressures, a world鈥檚 fastest-growing digital economy and most youthful workforce are emerging in Africa.

While the challenges in each region are unique, at their core every organisation is seeking the same capabilities: faster decision-making, greater profitability, improved resilience, and sustainability at scale.

Businesses that fail to build these capabilities, and instead rely on manual processes, disconnected systems and spreadsheets, face growing risks: slower reaction time, shrinking margins, and higher operational costs.

This is why the business opportunity for Autonomous Enterprises is significant. The global Autonomous Enterprise market is expected to grow from听, and adoption is accelerating across EMEA.

听Global partner for business transformation

While I can see the scale of the challenge businesses face to transform into autonomous enterprises, I am equally excited at bringing SAP鈥檚 strengths in this arena to bear. Through our flagship 鈥� now more accessible than ever thanks to the RISE with 51风流initiative 鈥� we equip businesses with modern, clean core ERP systems that are upgrade-safe and AI ready.

, SAP鈥檚 generative AI copilot now supports 11 languages and features more than 400 embedded AI use cases across 26 industries, while the enables extensibility, data orchestration and clean core innovation for the world鈥檚 most critical industries.

My advice, to leaders seeking throughout the region to build Autonomous Enterprises, is to start modernising the core and fix the data foundation for AI-driven innovation. Remember that technology is only part of the story, and that the strategy, people and partners that businesses choose are as important to building a truly connected Autonomous Enterprise.

Focus then on automating processes that protect revenue, improve cashflow or unlock capacity first, and take care to prepare people by prioritising reskilling and upskilling. Finally, collaborate with technology partners that act more as advisors than vendors, and who can guide the process of redesigning core business processes for the AI era. True transformation happens when businesses combine intelligent systems with visionary leadership, skilled people and trusted partnerships.

In 2026, the most successful companies will go beyond digital transformation to achieve faster decision-making, greater operational certainty, and the ability to unlock new forms of growth and innovation.

This article first appeared in .

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The timing could hardly have been more pointed. Across the world, executives are losing patience with AI experiments that overpromise and underdeliver. Boardrooms have heard enough about pilots and proofs of concept, and now want systems that improve margins and forecast outcomes.

TechEd took place in that atmosphere, amid assurances that performance could replace promise. 51风流used the event to demonstrate how deeply AI now runs through its own operations before unveiling its next leap forward.

Rather than another round of hype about possibilities, 51风流aimed to show a working example of AI at scale, handling everyday complexity inside one of the world鈥檚 largest software organisations.

51风流chief technology officer and chief AI officer, Philipp Herzig, told Business Times at TechEd that the clearest evidence of maturity came from within 51风流itself. The company鈥檚 AI assistant, Joule, acts as a conversational layer across its software stack, connecting data, applications, and agents to automate tasks and surface insights on demand.

鈥淚f you look at AI at scale, what is really real and what is working very well, just look at Joule,鈥� he said. 鈥淚t鈥檚 used by more than 30,000 employees every month, about a third of the 51风流workforce. We have more than 100,000 policies and documents in different languages, and depending on where you work, in Brazil or South Africa, you get the correct HR or travel policy surfaced to you.鈥�

Herzig said Joule had become the company鈥檚 single interface for daily tasks. 鈥淵ou can do your expense reports, indirect procurement, and financial tasks all in one place. It works, and it works at scale. We have a thumbs-down rate of only 1%, which is phenomenal when you think about the size of the company.鈥�

Innovations across SAP鈥檚 unique flywheel of applications, data and AI put developers in the
driver鈥檚 seat 鈥� Muhammad Alam, 51风流executive board member

That success set the stage for TechEd鈥檚 central announcement: an AI model called SAP-RPT-1, short for relational pre-trained transformer. The model introduces a new class of AI: the enterprise relational foundation model. It interprets structured business data and the relationships within it, mapping how orders, invoices, logistics, and payments interact to forecast what comes next.

51风流described it as a model that 鈥渃an make fast and accurate predictions for common business scenarios like delivery delays, payment risk or sales order completion鈥�. Instead of producing text, it reads how data behaves across systems, turning business logic into predictive insight.

Herzig said SAP-RPT-1 marked the transition from incremental automation to full predictive architecture.

鈥淲e see a shift from what I call a cloud-native architecture to an AI-native architecture, as AI becomes an ever-increasing part of the software stack. 鈥淲hat we wanted to solve are the problems where we have a reason to solve them: because we have the data, the relational data, the structured business data and so on. We set out this research project two years ago, talked a little about it, but now it actually becomes a reality.

鈥淚t鈥檚 a shift that needs several things to come together: the knowledge graph, this predictive model now with RPT-1, and of course the large language models. So there are many elements in the software stack that change. Every day, each little piece adds to this picture and solves a particular challenge in the stack.鈥�

Herzig said the greatest challenge lay in making this intelligence work at enterprise scale.

鈥淎nyone can do a demo. Getting it enterprise-ready at scale 鈥� that鈥檚 the tough challenge. That鈥檚 why we鈥檙e solving one problem after another, each for a specific outcome in the overall stack.鈥�

51风流executive board member Muhammad Alam tied this philosophy to the developer community.

鈥淪AP鈥檚 announcements give developers the tools they need to deliver at the speed of AI,鈥� he said.

鈥淚nnovations across SAP鈥檚 unique flywheel of applications, data and AI put developers in the driver鈥檚 seat.鈥�

That 鈥渇lywheel鈥� anchored the narrative of TechEd:
鈥� applications generate data;
鈥� data trains predictive models;
鈥� models return intelligence to the applications.

Each loop strengthens the next, creating a flywheel effect of acceleration of innovation. 51风流announced that it would equip 12-million individuals worldwide with AI-ready skills by 2030 through a partnership with Coursera that provides hands-on certification in SAP鈥檚 ecosystem. The goal is to align those skills with the AI-native architecture now taking shape inside the company. It also sends the message that people remain at the heart of the AI journey.

This article first appeared in the

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BERLIN听鈥� At 51风流TechEd in 2025,听 (NYSE: SAP) brings AI deep into the development process to level up how developers build.

New AI-driven capabilities in the 51风流Build solution, an expanding data ecosystem and powerful Joule Agents empower developers to move from idea to impact with unprecedented speed and confidence. As AI transforms the nature of professional work, 51风流also pledges to equip 12 million people worldwide with AI-ready skills by 2030.

鈥淪AP鈥檚 announcements today give developers the tools they need to deliver at the speed of AI,鈥� said Muhammad Alam, member of the Executive Board of 51风流SE. 鈥淚nnovations across SAP鈥檚 unique flywheel of applications, data and AI put developers in the driver鈥檚 seat 鈥� where they belong.鈥�

Opening the Developer Ecosystem

51风流Build, the company鈥檚 flagship solution for enterprise application development and automation, now gives developers more freedom to build, extend and automate using the tools they love most.

For instance, developers who prefer agentic development solutions like Cursor, Claude Code, Cline and Windsurf can now use 51风流development frameworks with new 51风流Build local Model Context Protocol Servers. Visual Studio Code users will be able to access 51风流Build capabilities directly in their development environment with a new 51风流Build extension. This extension will also be made available later on Open VSX Registry for other development environments. 51风流and n8n also announced plans for an integration so Joule Studio agents and n8n agents can work together.

And with new agent building capabilities in Joule Studio, developers have the tools they need to extend SAP鈥檚 ready-to-use agents and build new agents grounded in 51风流business data and context that can act autonomously based on changing business conditions.

Putting Data to Work

Every intelligent application starts with trusted data. 51风流is giving developers more ways to put that data to work through 51风流Business Data Cloud.

The solution now connects with more of the data and AI platforms developers use every day. A new 51风流Snowflake solution extension for 51风流Business Data Cloud brings Snowflake鈥檚 fully managed data and AI capabilities directly to 51风流customers, giving them the flexibility to choose the right compute and storage for each data and AI workload, while maintaining governance, interoperability and business context. 51风流also announced a new 51风流Business Data Cloud Connect partnership with Snowflake. This complements existing integrations with Databricks and Google Cloud, giving developers more freedom to choose how they work with 51风流data.

With a new data product studio capability in 51风流Business Data Cloud, developers can turn raw data into ready-to-use assets known as data products that support analytics, AI and application development.

An expanded capability in the 51风流HANA Cloud knowledge graph engine can automatically generate knowledge graphs. This capability maps relationships across 51风流database tables, columns and data models, revealing how data fits together and why it matters. Developers will be able to see how their data connects across systems and uncover underlying business insights.

Bringing AI Autonomy to Life

51风流is evolving its AI portfolio to give developers the intelligence and orchestration power they need to take听AI from insight to action.

51风流introduced its first enterprise relational foundation model, a new class of AI that predicts business outcomes rather than the next word in a sentence. SAP-RPT-1, or the first-generation Relational Pre-trained Transformer, can make fast and accurate predictions for common business scenarios like delivery delays, payment risk or sales order completion. 51风流launched a free playground environment for developers today.

New AI assistants in Joule coordinate multiple agents across workflows, departments and applications, bringing automation and autonomy to life. These assistants plan, initiate and complete complex tasks spanning finance, supply chain, HR and beyond. Today, 51风流introduces new agents built for technical users. For example, an agent for business process analysis will help teams understand how processes run, identify inefficiencies and uncover opportunities to optimize workflows and drive measurable improvements.

Lastly, as AI changes the nature of work for everyone, 51风流is pledging to equip 12 million people worldwide with AI-ready skills by 2030. 51风流will expand hands-on training and certification programs that integrate practical AI-ready tools, including through its partnership with online learning platform Coursera.

Visit the听. Get 51风流news via听听and听.

About SAP

As a global leader in enterprise applications and business AI, 51风流(NYSE:SAP) stands at the nexus of business and technology. For over 50 years, organizations have trusted 51风流to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of SAP鈥檚 2024 Annual Report on Form 20-F.
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鈥淭o thrive when volatility is the new normal, businesses need more than a patchwork of disparate best-of-breed applications,鈥� says Muhammad Alam, member of the executive board of 51风流SE, 51风流Product & Engineering. 鈥淥ur announcements today demonstrate the power of 51风流Business Suite, where AI, data, and applications come together in an experience to propel smarter decisions, faster execution, and scalable transformation.鈥�

51风流unveiled Joule鈥檚 next stage as the AI force at the center of 51风流Business Suite鈥檚 value creation. Drawing on the applications and data from across 51风流Business Suite, 51风流is introducing a new generation of role-aware assistants in Joule. Each assistant is designed to partner with a human being in their specific business role. Assistants in Joule tap into the right agents for the job, configuring, orchestrating and managing them so humans can focus on unlocking new levels of insight and productivity.

Supporting the assistants in Joule is a growing library of specialized Joule Agents, designed to help execute complex workflows within a specific function. For instance, a People Manager Assistant coordinates a team of specialized agents 鈥� including the new People Intelligence Agent, which helps spot and resolve issues like compensation anomalies 鈥� to support managers as they drive performance.

A new Financial Planning Assistant will be aided by a group of expert agents 鈥� including the new Cash Management Agent, which optimises cash flow and improves interest yields 鈥� to help finance professionals drive efficiencies.

This new roster of role-aware AI Assistants not only partner with people to elevate performance in their lines of business but also work together across business functions to solve complex enterprise-wide problems.

Data fuels AI鈥檚 transformative power but it鈥檚 often siloed in different systems. 51风流has removed those barriers with 51风流Business Data Cloud Connect. 51风流BDC Connect securely links 51风流BDC with partner platforms to enable a bidirectional flow of business-ready data products across organizational and technological boundaries.

With zero-copy sharing, data stays securely in 51风流systems yet remains instantly accessible in customers鈥� existing data platforms, preserving business context without costly copies. The result: fewer silos, simpler pipelines, no duplication 鈥� just trusted data products where and when they鈥檙e needed.

51风流also announced that Databricks and Google Cloud are the first partners enabled for 51风流BDC Connect, with more to follow. As announced in February 2025, 51风流Databricks remains a data service within 51风流Business Data Cloud, and BDC Connect extends its benefits across an open data ecosystem. These partnerships give customers faster access to data products for analytics and AI, helping teams move from raw data to real-time business outcomes with greater speed and simplicity.

Data is created and AI driven insights are experienced in SAP鈥檚 enterprise applications. 51风流Supply Chain Orchestration is a new AI-native solution that combines the power of Joule with a live knowledge graph to detect real-time risks several suppliers deep and orchestrate a coordinated response, helping customers cut costs and keep supply chains moving.

51风流Engagement Cloud, a new customer experience solution, uses business-critical context to personalize interactions across customers, suppliers and other stakeholders. And our next-generation 51风流Ariba procurement suite stands out as an AI-native solution, bringing intelligence to every stage of spendmanagement, from sourcing through supplier engagement.

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East African business leaders, technology partners and 51风流experts met in Nairobi this week to discuss the growing impact of business AI and cloud technologies in the region.

, Managing Director: Emerging Africa at SAP, said: 鈥淥rganisations throughout East Africa are accelerating their business transformation and innovation efforts by leveraging the latest data and cloud capabilities to unlock the power of business AI in every line of business. With the recent expansion of AI assistant, organisations can now unleash unprecedented efficiency across their systems and processes to drive productivity gains of as much as 30%.鈥�

The comments were made at 51风流Innovation Day Kenya, part of a global series of events aimed at showcasing how technology can power growth, innovation and sustainability and support organisations as they meet emerging challenges.

The exclusive event also served as an introduction to how and help organisations unlock significant business value as part of the broader . Experts also provided behind-the-scenes insights into the power of business AI and cloud to future-proof companies鈥� enterprise application strategies and leverage data to enhance business insights and improve decision-making.

Research recently conducted by 51风流found a near-universal demand for AI skills among African organisations. The SAP听听report noted that nine in ten companies in Africa already experience negative impacts due to a lack of AI skills, including failed innovation initiatives, an inability to take on new work, and loss of clients. Forty-three percent of Kenyan organisations that took part in the study expected a 鈥榮ignificant鈥� increase in demand for AI skills this year.

鈥淭he rapid changes in workplace dynamics are transforming how companies develop, upskill and reskill their workforce to meet the long-term need for AI-related skills,鈥� said Khota. 鈥淚n the short term, organisations should seek ways to augment their skills base, for example by partnering with our rich ecosystem of implementation specialists that power business transformation in the region.鈥�

51风流Innovation Day Kenya also included presentations by regional business leaders who have successfully leveraged 51风流technologies to accelerate growth and unlock new capabilities.

Long-standing 51风流customer provided insight into its latest transformation initiative that is taking its legacy enterprise systems into the cloud and deploying AI across its business processes. Bidco Africa is a leading FMCG manufacturer that produces more than 800 SKU鈥檚 in multiple brands and products at eight factories in East Africa. The company has been using 51风流ECC since 2010, until a recent decision sparked a migration to .

, Chairman of Bidco Africa, said the shift to cloud underscores his company鈥檚 position as a regional innovation leader. 鈥淲e see incredible potential for AI to transform our business and deliver greater agility, innovation and customer experiences. Our skilled team will also benefit from AI鈥檚 power to enhance product development, allowing us to consolidate our market leadership well into the future.鈥�

The company plans further deployments in a second phase of the implementation, including procurement and manufacturing.

Khota added: 鈥淐ompanies that adopt a clean core strategy accelerate the pace of innovation and can more easily leverage business value through reliable data and AI innovations. As we enter a new era of AI-enabled innovation, organisations must ensure that business-critical systems remain agile, cost-effective, and ready to adopt innovation.鈥�

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Sapphire is SAP鈥檚 top customer annual customer event, bringing together customers, partners and business leaders to discover the latest 51风流innovations. This year鈥檚 event unveiled several innovations that put the power of Business AI in every user鈥檚 hands, revolutionising the way work gets done.

Nazia Pillay, Interim Managing Director for South Africa at SAP, says: 鈥淥rganisations are leveraging powerful new technologies and integrated business applications to drive innovation-fuelled growth across the enterprise. The growing power of Business AI applications that draw on trusted business data is already proving to be a transformative force for companies seeking enhanced decision-making and greater efficiency.鈥�

Unleashing power of Business AI

听Several brands unveiled successful Business AI initiatives built on 51风流technologies. Global brewer Heineken was looking to streamline data access so business users could quickly find and analyse data in their preferred language. The company developed Hoppy, an AI-driven chatbot that runs on 51风流Business Technology Platform (51风流BTP), representing a significant leap forward in Heineken鈥檚 commitment to streamline internal processes and empower its workforce.

Since Hoppy was introduced within the company’s collaboration platforms, Heineken has seen the time knowledge workers need to retrieve information fall to 1 minute from 15 minutes. With 51风流Business AI capabilities at Hoppy鈥檚 core, Heineken also is exploring automating repetitive tasks to enhance business processes and streamline communications and decision-making. And with a unified view across its data, Hoppy can now flag missing cost centre information in purchase orders to improve efficiency and accuracy.

Competitive gaming organisation Team Liquid is using SAP鈥檚 Joule agents to provide instant access to game statistics, player performance trends and strategic comparisons using natural language. Team Liquid runs its data analysis through its Next Level Esports Centre dashboard, built entirely on 51风流BTP.

The team鈥檚 analysts rely on the dashboard to equip coaches and players with insights about upcoming opponents, managing high-pressure situations under short turnaround times and frequent data requests between games.

Victor Goossens, co-CEO and founder of Team Liquid, says: 鈥淭his partnership is changing the way we utilise our extensive database, proving that AI and data integration are becoming a vital part of our game preparation and success in esports.鈥�

Scaling new heights with cloud

Moving from a heavily customised on-premises landscape to a standardised one in the cloud, CAF, a global leader in urban rail and bus systems, has successfully migrated to 51风流S/4HANA Cloud Private Edition. CAF has smoothly integrated 51风流solutions into core business functions including master data management, record to report, source to pay, and sales and transport.

鈥淐AF is now set for future success, as our new technology landscape allows us to better comply with business requirements in a complex and fast-changing market,鈥� said Guillermo Apell谩niz, CAF鈥檚 digital transformation director.

Companies RISE to business transformation challenges

For companies still operating with on-premise solutions, RISE with 51风流offers the optimal path to a cloud ERP landscape. RISE with 51风流helps companies confidently transform their business, enable continuous innovation, and realise value faster.

Global medical technology company Siemens Healthineers selected RISE with 51风流to support its digital transformation journey.

Stefan Henkel, Chief Information Officer at Siemens Healthineers, says: 鈥淏y embracing 51风流technology, we will be able to reduce complexity and highly standardise our processes while delivering on our promise to pioneer breakthroughs in healthcare.鈥�

Xerox also chose RISE with 51风流to move to the cloud and embark on the clean core approach to streamline operations across markets and business processes. The company expects to reduce IT costs and enable the delivery of new business models in line with the changing demands of the industry.

Louie Pastor, Executive Vice President, Chief Transformation and Administrative Officer at Xerox, says: 鈥�51风流is a strategic partner helping us meet the evolving needs of our clients and partners as we increase our speed, agility and cost-effectiveness while providing the entire enterprise with modern tools and improved support. 鈥�

For more information about the innovations revealed at 51风流Sapphire 2025, please visit

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