From data chaos to profit machine with AI: The blueprint from SAP, UMT United Mobility Technology, and Palantir

SAP – AI as a growth engine

The latest figures from Walldorf paint a mixed picture. In the third quarter, cloud revenue rose by 27% on a currency-adjusted basis, and operating profit improved significantly. Nevertheless, SAP had to slightly revise its annual forecast for cloud growth downward, as many customers remain cautious in an uncertain macroeconomic environment. Total revenue grew moderately, but the more profitable cloud division continued to increase its margin. The cloud transformation is bearing fruit, even if the pace of growth is slowing down somewhat temporarily.

The strategy of winning customers with the RISE with SAP cloud solution and expanding with additional offerings is proving effective. Industry leaders such as BMW, Nestlé, and Ericsson are migrating their core business processes to the SAP cloud. Once customers start using the platform, cross-selling opportunities for AI and data analytics tools open up. The "land and expand" approach transforms one-time migration projects into long-term, value-adding partnerships and strengthens customer loyalty.

SAP integrates AI not as isolated tools, but deeply into business processes. AI assistants act as specialized team members in purchasing, logistics, or human resources. Partnerships with OpenAI for the public sector and with AWS for sovereign cloud solutions expand the reach. SAP sells AI not as a buzzword, but as a practical productivity lever in the established ecosystem, creating real added value and recurring revenue. The stock is currently available for EUR 208.10.

UMT United Mobility Technology – AI for small and medium-sized enterprises

While the AI trend often revolves around large language models and visions of the future, a German technology provider has taken a radically pragmatic approach. Its focus is on medium-sized logistics companies that are caught between a shortage of skilled workers and outdated processes. Instead of theoretical AI approaches, the Company develops specialized solutions for specific problems, such as customs clearance or invoice verification. Digital transformation is not a topic for the future here, but an overdue reality, and that creates a clearly defined market. This niche has been criminally neglected by large cloud service providers, even though it offers great potential for efficiency gains.

The solution is impressive in its simplicity. Instead of a universal AI application, the Company relies on customized digital assistants for individual workflows. These specialized modules combine different AI models, each of which performs specific tasks, from reading various documents to comparing them with databases. What used to take minutes or hours to do manually now takes seconds. The technology does not require extensive training, but can be quickly adapted to company-specific processes. This modular approach, similar to modular systems, makes it possible to deliver robust results even with smaller amounts of data.

The business model follows the logic of software solutions as a service with a clear value proposition. Customers do not pay for licenses, but per automated transaction, and sign annual contracts. Customers save time and money, as manual processes can be up to 85% more expensive. Deep integration into existing systems creates barriers to change, while typical contract terms of two years offer predictability. For investors, this shows how the AI trend is being translated into measurable process optimization in the backbone of the German economy. In the long term, the model benefits from operational reality. The more processes are automated, the higher the monthly recurring revenue. The share is currently trading at EUR 1.38.

Palantir – Explosive AI offensive

Palantir is experiencing unprecedented growth, driven by its Artificial Intelligence Platform (AIP). In the third quarter of 2025, US commercial revenue rose by 121%. Customers do not enter into long-term commitments, but often conclude comprehensive partnerships lasting several years. Intensive boot camps shorten sales cycles and ensure explosive bookings. Palantir is positioning itself as a central hub for real-time operational AI decisions. The growth is real and secured by long-term contracts.

But the fast pace comes with risks. Large orders may have brought forward future demand. When customers who would otherwise have grown slowly sign large multi-year contracts today, it creates a distorted picture. Part of the demand has been brought forward. Added to this are high expectations for return on invested capital (ROIC), whose payback period could be longer than expected. Disappointing ROICs could slow down follow-up investments and new large orders.

The key question for investors is: Can Palantir meet the high expectations? The market is counting on renewals, expansions, and profitable additional sales. The risk of a digestion phase, in which customers first have to digest existing implementations before approving new budgets, is underestimated. Investors need to assess whether Palantir's platform will become indispensable and keep growth stable beyond large orders. These factors are likely to have caused the stock to come under pressure recently. A share currently costs USD 165.77.

The AI transformation is being driven by different but compelling strategies. SAP shows how AI establishes cloud ecosystems and creates long-term customer loyalty and recurring revenue. UMT United Mobility Technology addresses the needs of small and medium-sized businesses in a pragmatic and specialized manner. Palantir is delivering explosive growth figures, but faces the challenge of proving the sustainability of its advanced demand model. Together, they show that the path from data to profit depends less on technology than on its commercial implementation.