Mercedes-Benz Uses AI Automation with Low-Code Platform

What’s It About?

Mercedes-Benz is systematically integrating artificial intelligence into its business processes and is taking an unusual approach in doing so: instead of having AI applications developed exclusively by specialists, the company enables its employees to create automated workflows independently. The centerpiece of this strategy is the low-code platform n8n, which also allows people without in-depth programming knowledge to realize intelligent automations. With this, the automaker is pursuing the goal of moving AI technology from isolated pilot projects into broad application.

Background & Context

As part of its “Digital First” strategy, Mercedes-Benz is consistently expanding its digital infrastructure. A central setting of this transformation is the Digital Factory Campus in Berlin, where the company tests new technologies such as AI, cloud platforms, and humanoid robots and integrates them into existing production processes. The modular architecture of the technologies used enables flexible connection to existing IT systems across the entire global production network.

Mercedes-Benz places particular emphasis on data sovereignty: through self-hosting of the n8n platform, sensitive company data remains in a controlled environment. The company distinguishes three levels of AI competence within its own team: “takers” already use existing AI tools, “makers” independently design workflows with low-code tools, while “builders” develop complex software solutions. This differentiation is intended to establish broad AI competence within the company and to specifically promote different qualification levels.

In order to generate creative impulses, Mercedes-Benz held a company-wide hackathon with more than 1,500 participants. Such formats serve to gather innovative ideas for AI applications and to bring promising approaches into practical implementation. The planned implementation extends across various central corporate areas such as development, production, and further business fields.

What Does This Mean?

Democratization of AI: Through low-code approaches, specialist departments can develop automations themselves without having to wait for IT specialists – this considerably accelerates innovation cycles.
Scalability as a success factor: The modular technology architecture makes it possible to quickly transfer successful solutions to other locations and areas, which accelerates the digital transformation in the global group.
Building competence instead of buying technology: With the three-tier competence model, Mercedes-Benz invests specifically in the qualification of its own workforce instead of exclusively purchasing external solutions.
Data sovereignty as a strategic advantage: The self-hosting strategy gives the company full control over sensitive data and creates independence from external cloud providers.
Pioneering role in the industry: The systematic approach to scaling AI could serve as a blueprint for other industrial companies that likewise face the challenge of introducing AI across the board.