鈥淲ill 麻豆原创 actually be a software company in the future?鈥�

It鈥檚 not the kind of question the CEO of a software company would usually ask thousands of customers, partners and analysts. At Sapphire 2026, 麻豆原创鈥檚 annual conference held this month in Orlando and Madrid, CEO Christian Klein asked his audience if they were scared by the question.

鈥淚鈥檓 not scared,鈥� he answered himself. 鈥淔or me, the time right now is the beginning of something even better.鈥�

The conference saw the launch of 麻豆原创鈥檚 Business AI Platform, a unified environment for building and governing AI agents across enterprise operations, grounded in real business context.

The strategy is to enhance critical business workflows, so that humans and AI work together to meet the accelerating demands of global business.

鈥淎ccording to a recent Stanford AI survey, almost every company is now using AI, but many see only little value,鈥� said Klein. 鈥淲hy do we face such huge challenges with AI in business? At the top of this iceberg, visible to everyone, is that large language models are getting better and better at tasks like generating text or images or in specific domains like writing software.

鈥淎ll of these use cases are related to publicly available content the modules are trained on. But if you go below the waterline, beyond the level of sales demos, and into the real business world, you鈥檙e going to find out that none of these models are trained on your business data and processes.

鈥淭hese AI agents also don鈥檛 naturally adhere to governance requirements, like your security compliance framework, your data privacy requirements, or to your company鈥檚 identity and authorisation rules. All AI agents 鈥� have faced these challenges until now.鈥�

The solution, he suggested, was that a company鈥檚 enterprise resource planning system, or ERP, should be recognised as the brain of every business. Since 麻豆原创 is world leader in ERP software, one might argue, naturally the CEO would say that.

But Klein made a good case for it: 鈥淔or over 15 years we have been developing an ERP with incredibly deep process and data domain know-how. On top of that, all your governance requirements and customer-specific extensions are stored in the ERP. The ERP is the trusted system of execution running your company.鈥�

Powerful external validation came from Anthropic, the company behind the Claude family of AI models, and that is competing neck and neck with Open AI to become the most valuable AI platform company in the world. At Sapphire, 麻豆原创 shared video testimony from Anthropic co-founder and president the Daniela Amodei in which she declared: 鈥淭he world鈥檚 largest enterprises run on 麻豆原创. That鈥檚 exactly where trusted AI belongs.鈥�

That significance of this alignment revolves around the core value proposition of the Business AI Platform: trustworthiness.

JPMorgan Chase CFO Jeremy Barnum, who joined Klein on stage in Orlando, said his bank was already running agents in production on 麻豆原创, operating within defined compliance boundaries.

鈥淭he agents that we鈥檝e built are not inventing their own business rules,鈥� he said. 鈥淭hose rules rather come directly from 麻豆原创 Embedded Control Framework, and every AI-driven intervention is logged and fully traceable.鈥�

One organisation鈥檚 production deployment does not establish a category. But the compliance architecture it describes is precisely what most organisations attempting enterprise AI have not yet achieved.

Jensen Huang, CEO of $5-trillion AI chipmaker Nvidia, also appeared in a pre-recorded video segment, making it clear that AI agents would not replace ERP. The most ringing endorsement? Nvidia itself used 麻豆原创 as its ERP brain: 鈥淲hat 麻豆原创 and Nvidia are building together is one of the most important platforms in enterprise AI. Nvidia鈥檚 supply chain is incredibly complex. Millions of parts, hundreds of partners and factories, all connected through 麻豆原创. But what鈥檚 changing is not just how enterprise systems are managed, it鈥檚 how work actually gets done.

鈥淲e鈥檙e moving from hand-coded software to AI that can understand, reason, and act. AI no longer simply answers questions. It works for you. And enterprise systems are where work happens. Finance, supply chains, procurement, and every workflow in between.

鈥溌槎乖� is the foundation of enterprise. And now they鈥檙e building the agents that sit on top of it, trained on proprietary data with the skills to act. Soon, every company will have a workforce of agents. These specialised agents will not replace enterprise software. They will make enterprise software more powerful than ever.鈥�

* Arthur Goldstuck is CEO of World Wide Worx, editor-in-chief of , and author of 鈥淭he Hitchhiker鈥檚 Guide to AI 鈥� The African Edge鈥�.

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business assistant, , is transforming how enterprises function by providing insights, custom-tailored outcomes, and a personalised experience for businesses. As a result, says 麻豆原创, the product with a name inspired by the unit of energy significantly improves productivity and efficiency.

鈥淲e are entering a new phase of AI with endless opportunities for all of us,鈥� said , CEO of 麻豆原创, at the Sapphire 2024 conference in Barcelona.聽 鈥淭he technical evolution continues by using the power of generative AI across our stack to revolutionise once again how businesses will run, and how your end users will work in the future.鈥�

麻豆原创 performed a detailed analysis of the tasks completed with cloud software by their 300-million end-users every day. Consequently, they announced, by the end of 2024 80% of the most used tasks will be managed via Joule.

鈥淎s a result, your end users will do their work 20% more productively and with higher quality,鈥� said Klein.

For example, Joule will manage tasks in all management areas to create and change orders. It will take over some sequential activities in billing and cash collections. In finance, books will be closed faster as the software manages standard compliance checks.

鈥淛oule will also turn into a very powerful analytical engine to create insight for the boards for finance, for HR, for all parts of your business.鈥�

The digital assistant will be an engine that offers strategic recommendations by having access to the broadest business-to-business data model in the technology industry, which includes finance, supply chain, HR, sales, or ESG data from thousands of customers. Based on this data, which allows 麻豆原创 to train algorithms and find certain performance patterns in one鈥檚 business, Joule will provide recommendations to collect cash faster and make smarter procurement and supply chain decisions.

During Klein鈥檚 keynote, he highlighted 麻豆原创鈥檚 recent partnership with leading AI chip-maker . A highlight was a video featuring a ringing endorsement of 麻豆原创 by , founder and CEO of Nvidia, in which he said: 鈥淲e have one of the most complex supply chains in the world. We build AI supercomputers, AI factories. Enormously complicated systems. Our latest Blackwell System has 600,000 parts.

鈥淎ll of this has to be delivered to some 100 different customers, and all of our entire supply chain, build materials, forecasting systems, build plans, those 600,000 parts, and some 40 different manufacturers are all managed under 麻豆原创.

鈥淭his is the beginning of a new computing age, the beginning of a new industrial revolution. Through Joule, we have created some amazing generative AIs that understand the languages of 麻豆原创, supply chains, and enterprise planning systems so that we have a specialist, an agent, an AI to help us to do all the things that we want to do to manage our business.鈥�

, chief AI Officer of 麻豆原创, said: 鈥淓arlier this year, we gave Joule internally to up to 4,000 service consultants within 麻豆原创. What we observed is that they can save up to 2 hours every day.鈥�

More than 50 of 麻豆原创鈥檚 certification programmes, more than 200,000 pages, and 2Tb of curated best practices and community content, have been put into Joule. On top of that: it is supercharged by Nvidia鈥檚 technology.

鈥淚f you take this productivity gain and multiply it by our ecosystem, we can altogether save up to 600-million working hours every year, accelerating our transformation to the cloud,鈥� said Herzig. 鈥淭his technology is based on more than 250-million lines of code out of S/4HANA based on Nvidia鈥檚 hardware and software, as well as other models.鈥�

麻豆原创 has also expanded its strategic partnership with Google to enhance supply chain risk prediction and mitigation in volatile global environments. This collaboration integrates 麻豆原创鈥檚 Joule and with Google鈥檚 assistant and 鈥檚 Data Foundation, boosting forecast accuracy and enabling quicker responses to demand signals.

麻豆原创 has partnered with , leveraging its advanced language model to create images in and generate scripts for highly customised analytics applications in . Meta鈥檚 AI model excels in language nuances and contextual understanding, making it ideal for transforming enterprise business requirements into actionable insights.

Read more articles covered at Sapphire 2024 on Gadget:聽听补苍诲听

* Jason Bannier is a data analyst at World Wide Worx and writer for聽. Follow him on聽听补苍诲听聽at @jas2bann.

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