Turning Operational Knowledge into Digital Assets

Every organization has critical knowledge that lives inside the heads of experienced employees. The challenge is making that knowledge accessible, repeatable, and scalable.

For most of his career, Malotke worked as an engineer. His experience spans body-in-white engineering, wire harness design, technology management, and data analytics. Today, he serves as a lead developer and laboratory digitization leader at Yazaki, helping modernize testing operations that support customers around the world.

But his path into application development wasn’t conventional.

As Yazaki’s testing organization looked to modernize laboratory management processes, the team needed a faster and more flexible way to support a highly dynamic testing environment. Rather than relying solely on traditional software development resources, they recognized an opportunity to put process transformation in the hands of someone who already understood the business inside and out.

Malotke embarked on a Mendix learning path and quickly discovered that visual development aligned naturally with how engineers think and solve problems.

“Engineers like things visual, and that’s exactly what microflows are. With Mendix, you can drag and drop, make things work on the fly,” he said.

Within months, he went from learner to builder.

For Malotke, the biggest advantage wasn’t simply building applications faster. It was being able to transform years of operational expertise into digital solutions that could be shared, improved, and scaled across the organization.

“Domain expertise is a force multiplier,” he emphasized.

Building Intelligent Systems, Not Just Applications

Many manufacturers struggle because the people closest to operational challenges often have little influence over the software solutions designed to address them.

Yazaki took a different approach.

Instead of translating requirements through multiple layers of stakeholders, engineers were given the ability to directly shape the solutions they needed. The result was faster feedback, stronger alignment with business goals, and applications that reflected real operational requirements.

What began as a single Mendix project soon evolved into a connected ecosystem supporting testing operations, scheduling, equipment management, quality processes, and business workflows. Today, those applications work together through a shared data foundation, creating greater visibility and consistency across operations.

This shift reflects a broader trend happening across manufacturing. Organizations are no longer focused solely on digitizing individual processes. They’re building systems that capture expertise, connect information, and enable better decision-making at scale.

The ability to rapidly prototype, test, and improve solutions created a culture of continuous improvement.

Creating Continuous Feedback Loops

One of the most important outcomes of Yazaki’s low-code journey has been the creation of a continuous feedback and improvement cycle.

Rather than acting as passive consumers of technology, employees became active participants in shaping it.

As applications were rolled out across the organization, users were encouraged to submit ideas, identify opportunities for improvement, and influence future development decisions. The result was more than 2,000 pieces of user feedback, with approximately 80% addressed through ongoing application enhancements.

This transformed the relationship between technology teams and business stakeholders.

Instead of treating software as a finished product, Yazaki treats applications as evolving assets that get smarter and more valuable over time through continuous user input. The impact was visible not only in process improvements, but also in employee engagement.

One piece of feedback stood out to Malotke: “Thanks for making my life so much easier.”

As users experienced the value of purpose-built solutions, demand continued to grow.

“Business side engagement has been tremendous. They want more Mendix solutions,” Malotke emphasized.

Preparing for an AI-Powered Future

Many organizations are eager to adopt AI, but successful AI initiatives require more than access to new technology. They depend on connected processes, accessible data, governance, and a deep understanding of business context.

Through its Mendix journey, Yazaki has spent years building those foundations. By digitizing workflows, connecting operational information, and establishing strong collaboration between business and IT, the organization has created an environment that is better positioned for future automation and AI initiatives.

A critical element of that success has been governance.

Rather than creating isolated pockets of innovation, Yazaki developed solutions in close partnership with IT to ensure security, scalability, and long-term sustainability.

That collaborative approach has helped transform low code from a technology initiative into a business capability, one that can adapt as new opportunities emerge.

Today, Malotke sees AI as the next stage in that evolution.

As manufacturers explore intelligent operations and agentic systems, Yazaki’s experience highlights an important reality: technology doesn’t create intelligence on its own. People do.

By empowering domain experts to transform operational knowledge into digital solutions, organizations can build the foundation for continuous innovation, stronger business-IT collaboration, and future AI initiatives.

And sometimes, that journey starts with an engineer who simply wants to solve a problem.