While SAP is launching its cloud offensive with “Business AI”, many companies are struggling with costs, dependencies and complexity. Simplifier offers the solution: a low-code platform that connects AI-supported applications to SAP quickly, securely and independently – whether on-premise, in the cloud or hybrid.
SAP + AI
A vision beyond reality
SAP’s vision is clear: the future only exists in the cloud. Innovations such as Copilot Joule or generative AI functions are only available via the SAP Business Technology Platform (BTP). For companies that have already taken this step, this is a logical path – but for the majority that continue to work with S/4HANA on-premise or ECC 6.0, the future of AI remains closed for the time being.
Your AI admission ticket
Simplifier offers the pragmatic answer: our low-code platform enables companies to develop AI-supported applications quickly, securely and independently – whether on-premise, in the cloud or hybrid. Simplifier combines the best of both worlds: the stability of the SAP core with the innovation speed of modern AI technologies. But: Simplifier is not just another app forge, it builds a bridge between SAP, artificial intelligence and real business dynamics.
The solution lies in the side-by-side principle: instead of overloading the SAP core, new functions and AI logic are developed outside of the ERP system – but seamlessly integrated. Simplifier enables this side-by-side development through native SAP connectors, certified interfaces and a low-code environment in which both IT and business departments can work together. Experience shows that the development time forAI-supported applications, for example, can be reduced by up to 80%.
Simplifier + AI
Advantage of "hybrid intelligence"
Simplifier creates the basis for hybrid intelligence that connects the company’s own data from SAP, MES or CRM systems with AI services such as Azure OpenAI, Google Vertex or local LLMs. This creates true digital sovereignty – companies retain full control over their data, costs and speed of innovation. The Simplifier platform effectively closes the gap between rigid ERP systems and dynamic AI services. Low-code becomes a strategic enabler and combines SAP, AI and process innovation into a holistic digitalization approach that is not dependent on one provider or release cycle.
In other words, AI brings intelligence – it can understand natural language, generate code, analyze data, make predictions and automate decisions. Low-code brings speed to digital process automation – users can create apps visually with minimal programming effort. AI accelerates low-code development with intelligent suggestions, automatic code generation and instant prototyping. And low-code apps are getting smarter – they can chat with users, analyze trends and make decisions in real time.
However, it is also a fact that AI is a tool and as such can usefully supplement low-code, but not replace it. After all, no one dares to leave code quality, security, compliance or simply overall responsibility to artificial intelligence (AI), and we see little to no potential for this in the low-code environment in the future. AI as support for ideas and mock-ups, for development and integration, for management and deployment: always welcome where it makes sense, but a clear no for everything else.
What can Simplifier do in conjunction with AI?
Simplifier seamlessly connects existing systems with the latest AI technologies so that processes can be automated and optimized much more easily and quickly. All types of existing identity and access management solutions are supported, data flows are monitored and legal regulations and compliance rules are met. In practice, this means that Simplifier makes AI-generated code manageable.
The visual representation and abstraction of the application UI and logic make it easy to understand and change code. What’s more, Simplifier apps comply with established coding standards and best practices, ensuring consistency throughout the development process. Simplifier is also open to the optimal solution, so the best AI service can be implemented for each use case – both online and offline.
Simplifier already offers a wide range of specific AI functions – both to support application development and for productive business applications. All AI modules can be integrated directly into existing SAP and non-SAP systems – without media disruptions, without additional logins and with full access to process and master data. Simplifier is already connected to over 80% of enterprise systems and will soon make this power directly accessible to AI and LLMs. Custom GenAI can be used to create or edit Simplifier connectors and perform integrations and data transformations in the existing AI agents and wizards.
Support for App Builder
Experience shows:
AI analyzes code patterns and suggests optimizations, reducing errors by 45% and improving performance by 30%.
“With Simplifier’s AI capabilities, we’ve cut our development time in half while improving application quality. What used to take weeks now takes days, allowing us to focus on innovation rather than repetitive coding tasks.”
Lead Developer, Global Manufacturing Company
AI chatbot created with Simplifier
Use in the corporate context
Intelligent Automation
The use of artificial intelligence in business processes significantly increases efficiency and quality. Intelligent automation takes over repetitive tasks in packaging, quality control and logistics, reduces manual errors by up to 95% and speeds up approval processes through intelligent routing. The result: 40% higher productivity in warehouse processes.
Computer Vision
By using computer vision, product dimensions are automatically measured and checked, reducing packaging errors to less than 0.5%. At the same time, the accuracy of the SAP inventory data is ensured through visual verification. The result: SAERTEX was able to completely avoid costly rework with the AI vision system.
Predictive intelligence
With predictive intelligence, maintenance requirements can be identified at an early stage before equipment failures occur. Based on historical data, inventory requirements are precisely forecast and process bottlenecks can be identified through pattern recognition. The result: 35% less unplanned downtime for manufacturing customers.
Questions? Let's talk!
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Christopher Bouveret
Innovation expert at Simplifier
Use cases & practice
Actions speak louder than words
Of course, the potential time and cost savings and productivity gains from the use of AI-infused apps always depend on the complexity of the software and digitalization projects as well as the expertise of the developers. Nevertheless, based on our experience, we can identify the following advantages and best practices that the tandem of AI and low-code brings:
1.
AI-ready platform
The low-code platform must support the use of AI.
2.
Understanding AI
AI is right and important, but its basics should also be known, i.e. topics such as machine learning (ML), computer vision, natural language processing (NLP), etc.
3.
Integrate AI services
Preconfigured AI services that can be easily integrated into your low-code platform support users immensely.
4.
Define use cases
What can help the company and how? Where is image recognition important, where is predictive analytics needed and who can be helped by a chatbot?
5.
Continuous evaluation
Check regularly, i.e. implement continuous performance monitoring and don’t forget the end users.
AI is used at Simplifier as a tool to connect worlds or different existing systems. These can be combined:
from software or data systems from SAP, Microsoft, Oracle or Salesforce
from offline-capable JavaScript libraries such as Tensor Flow, Onnx Runtime, m15.js or Hugging Face
optionally with the common AI services from AWS, Azure or Meta
Popular use cases in the production environment:
Packaging process app at SAERTEX
SAERTEX, the global market leader in the production of textile reinforcement materials for fiber composites, has made the leap from a paper-based production process to digital process intelligence thanks to low-code and AI: what used to fail due to a lack of maintainability and system breaks is now orchestrated via a uniform tool chain – mobile, scalable, seamlessly transparent and with a well thought-out governance concept, such as for the packaging of goods: With the “packaging process app”, even unskilled workers can be integrated into the digitally managed process without extensive instruction. The error rate has been reduced to below 0.5 percent and at the same time the follow-up costs of an incorrectly packaged transport roll have also been reduced.
Incoming goods department of an automotive supplier
In the incoming goods department of an automotive supplier, every component is carefully checked and documented. Previously, this meant taking photos, manually assigning files and making time-consuming complaints in the event of damage. With the low-code app, things are now different: when goods are received, the employee scans the barcode of the delivery and takes a photo of the component directly in the app. An AI model in the browser recognizes damage or deviations – without transferring the photo anywhere. The app automatically suggests suitable actions (e.g. book blocked stock, start supplier complaint). All data is securely archived in the internal SAP system. The entire image recognition process therefore works locally in the browser – thanks to the so-called in-browser inference. The model is downloaded once (caching) and is then available even without a network connection. Photos always remain on the device, meaning that sensitive information never leaves the company network. In this way, modern AI technology can be integrated smartly and securely into industrial processes – without compromise.