The AI clock is ticking in low-code mode

SAP promises its customers nothing less than a revolution with its various „Business AI“ offerings and recently revised AI strategy: SAP Joule is designed to make navigation and transaction tasks up to 90 percent faster (source: SAP). However, this applies primarily in the cloud and therefore only to Rise and Grow customers who, ideally, also use the SAP Business Technology Platform (BTP) or even the SAP Business Data Cloud (BDC). And this is precisely where the promise begins to crumble, because many companies are still in the midst of S/4 transformations or continue to work with stable on-premises systems – even though SAP has shifted the (IT) future and, with it, all AI solutions and tools to the cloud and continues to do so. As a result, all non-SAP cloud customers are automatically excluded from AI innovations.

Never view ERP and AI in isolation

Many impressive customer projects in the SAP environment show that there is another way. The fact is that ERP modernization does not have to be completed in step one before jumping on the AI bandwagon in step two. That is simply wrong. Every month of standstill means no new experience, no new internal skills, and no further success. Those who wait now will lose out in several ways – in terms of customers, efficiency, and innovative strength. Now is the time to think in more complex terms and in hybrid architectures. This could look like this: SAP data stays where it is.

And the intelligence comes „externally“ from flexible and agile AI services that are deeply embedded in analytical and transactional business processes: Whether hyperscalers such as Azure OpenAI, specialized local LLMs on proprietary hardware, or a mix of both – this offers companies, and in particular players in highly regulated industries, a way to maintain full control over costs, data protection, IT security, access concepts, and, if necessary, exit strategies – without expensive and time-consuming vendor lock-in. Such a „toolbox“ offers immense potential, especially for medium-sized companies, which often have many individual core processes.

Low-code: AI catalyst

All of this can work if companies are fast enough—because without sufficient speed, hybrid AI will just become another mammoth project. This is where low-code comes into play. SAP-certified and „Made in Germany“ low-code platforms such as Simplifier have been proven to help companies develop their AI use cases up to ten times faster than with traditional coding. They can be fully integrated into SAP and non-SAP environments, are mobile-ready, SAP Fiori-compatible, and come with no transactional cost traps.

Whether it's live data translation, smart document recognition, or chatting with your own business data, Simplifier is already bringing AI into processes today—regardless of SAP release cycle, license type, or contract status. In addition, low-code significantly increases the ability to compete beyond the standard with individual processes and to play to your unique selling points: a decisive success factor, especially for German SMEs.

Fusion teams as leverage

Low-code has long been more than just a technology. Low-code is also the starting signal for a new type of collaboration: business departments and IT are finally developing solutions together, directly, iteratively, and measurably. Gone are the days of endless lists of requirements and discussions; shadow IT no longer exists – instead, there is real value creation. Ultimately, however, the most important question is not whether companies use AI, but how quickly they finally do so. Waiting for the SAP roadmap is a risk that no one can really afford to take. Low-code and AI in a sovereign platform strategy are the means of choice, because they enable companies to reduce complexity, create speed, and secure their digital sovereignty.

AI and low-code in practice

AI should not replace, but rather enhance – it should be like a smart colleague who speeds up processes, inspires creativity, and supports even non-technicians in implementing complex solutions – keyword: citizen developer. AI can therefore take on routine tasks while teams focus on strategically value-adding code, among other things. At the same time, low-code ensures governance, security, and maintainability—even with AI-generated code.

What you can't control, you can't run!

Business AI Services

With Business AI from Simplifier, companies can translate, understand, and use their data more intelligently. This means faster decisions, lower costs, and greater efficiency without having to replace existing systems. These three Business AI services, among others, contribute to this:

The first service, AI Live Translation of your Data, ensures that multilingual data is available immediately, eliminating the need for manual translation. This allows global teams to work with the same data in real time, regardless of language. Artificial intelligence recognizes the context and translates in a subject-specific manner. This leads to higher quality and consistency. At the same time, the costs and time required for external translation services are significantly reduced.

The second service, AI Document Recognition, enables the automatic recognition and structuring of information from documents such as invoices, delivery notes, or contracts. This reduces the manual effort involved in data entry, minimizes potential errors, and speeds up processes overall. In addition, the service can be integrated directly into ERP or CRM systems such as SAP or Salesforce, enabling departments such as accounting, purchasing, or HR to use resources more efficiently.

With the third service, Chat with your Data, employees can interact directly with company data in natural language—for example, by asking questions such as „Show me all open orders in Europe.“ Time-consuming reporting or special SQL expertise are no longer necessary, which democratizes access to data. Decisions can thus be made more quickly, while tasks such as approvals, queries, or analyses can be handled directly in the chat, leading to significant efficiency gains.

Conclusion

Low-code makes digitalization tangible, and AI makes it smart. Together, they form the foundation for future-proof, agile, and confident enterprise IT that not only enables innovation but actively drives it forward.

Business AI Services

AI Live Translation of your Data: Automatically translates company data in real time.

AI Document Recognition: Automatically recognizes and structures information from documents and integrates directly into existing systems such as ERP or CRM.

Chat with your Data: Enables employees to interact directly with company data using natural language.

Continue to the partner entry: