Mini-Masterclass Episode 6: "But We Have SAP!" 🛑 Why This Slows Down the Workshop.

"But we have SAP": Why this sentence slows down the workshop

"We don't need anything new. We have SAP."

This sentence is regularly heard in industrial companies. It sounds reasonable: SAP is established, contains important company data, and maps numerous processes. So why should maintenance need another solution?

Because a powerful system is not automatically a user-friendly system.

SAP can be the backbone of your company. But the mechanic with oily fingers is not in the air-conditioned office. He is at a broken machine, production is waiting, and every minute counts.

In this situation, it is not the functionality of the software that determines data quality. The question is: How easily can the employee input his knowledge?

SAP is not the problem

The solution is not to abolish SAP or replace it with another isolated solution.

SAP fulfills an important task: The system manages orders, master data, materials, costs, and technical information. It thus forms a stable foundation for industrial processes.

The problem arises at the interface between human and system.

An Enterprise Resource Planning system, or ERP system, was primarily developed to map company resources and processes in a structured way. The needs of a technician directly at the machine were often not the top priority.

For him, feedback often means:

• finding the right screen,
• opening the appropriate order,
• understanding multiple fields,
• entering information in a structured way,
• correctly selecting technical designations,
• and doing all this as quickly as possible during daily operations.

The more complicated this process is, the more likely it is to be shortened, postponed, or completely bypassed.

What really happens in the workshop

Imagine a system fails. A maintenance technician examines the machine, finds the cause, replaces a component, and gets production running again.

His actual work is done.

Now he is supposed to document the process in a comprehensive SAP screen. Under time pressure, he therefore only enters the essentials:

"Machine broken."

After the repair, the feedback follows:

"Machine back in order."

Formally, the order was processed. However, hardly any usable knowledge was created.

The crucial information is missing:

What was the exact error pattern? What cause was identified? Which component was replaced? What tests were conducted? Were there any special features? How can the same error be identified faster next time?

The company may have an expensive and powerful system. But the information contained within it hardly helps with the next disruption.

Garbage in, garbage out

In data processing, a simple principle applies: Bad inputs produce bad results.

Or in short: Garbage in, garbage out.

Even the best ERP system can only work with the information that employees actually enter. If messages and feedback are incomplete, several problems arise:

Recurring disruptions are difficult to identify. Causes of failure cannot be reliably analyzed. Key figures lose their significance. Experiential knowledge remains in the minds of individual employees. And the search begins anew with the next error.

Poor data quality is therefore not just a documentation problem. It directly affects repair times, system availability, and the further development of maintenance.

More training does not solve the problem

A typical reaction is: Employees need to master SAP better.

So additional training is organized, process descriptions are created, and mandatory fields are introduced. But this once again shifts the responsibility to the user.

The mechanic was not hired to operate complex software screens. His core task is to identify technical problems and maintain systems.

Of course, employees need a basic understanding of the systems used. Nevertheless, the operation should not be unnecessarily complicated.

Privately, no one expects to attend a multi-day seminar for every smartphone app. A good application largely explains itself, reduces inputs to the essentials, and guides the user clearly through the process.

Companies should also set this standard for workshop software.

You don't need an SAP replacement

The better solution is a simple user interface in front of the existing ERP system.

This user interface is often referred to as a UX layer. UX stands for User Experience, meaning the user experience. The UX layer translates between the employee and the complex background system.

SAP remains the central system. However, the technician no longer has to work through every single screen.

Instead, he uses an interface that suits his work situation. It asks understandable questions, reduces unnecessary inputs, and then transfers the information to SAP in a structured way.

The UX layer does not replace the ERP system. It makes it usable for the people in the workshop.

Language is the most natural interface

Input becomes especially easy when the technician can describe the process as he would explain it to a colleague.

For example:

"The motor was vibrating unusually strongly. We checked the bearing and found significant play. After replacing the bearing, the vibrations were back to normal."

An artificial intelligence can recognize, structure, and assign the relevant information to the intended fields. If important information is missing, the assistant asks specifically.

The employee does not need to know which SAP field expects which information. He focuses on the technical issue. The software handles the translation.

This changes the division of labor:

The technician provides experience, observations, and expertise. The artificial intelligence helps with structuring, formulation, and transmission.

A UX layer not only improves acceptance

Simpler operation initially sounds like a comfort issue. In fact, it has direct operational benefits.

When employees can quickly and clearly capture messages and feedback, the likelihood increases that they will consistently use the process. At the same time, the information becomes more complete and comparable.

This creates a better basis for:

• the analysis of recurring disruptions,
• shortening repair times,
• evaluating technical weaknesses,
• knowledge transfer within the team,
• planning preventive measures,
• and the sensible use of artificial intelligence.

Only with good data can a company learn from past events.

The process must fit the user

Many digitization projects start with the existing software. Subsequently, employees are expected to adapt their work methods to the system.

The better approach begins with the specific work situation.

What information does the technician need at the machine? What details can he reliably provide at that moment? Which steps create unnecessary effort? And how can existing systems be reused in the background?

A good digital solution connects both worlds:

In the background, stable company systems, established data models, and central processes are maintained. In the foreground, the employee receives a simple, understandable, and situation-appropriate application.

This does not create an additional data silo. Instead, access to the existing system is improved.

ADAM as a translator between workshop and SAP

ADAM follows exactly this principle: The platform forms a user-friendly layer between the human, his systems, and the existing company systems.

A message or feedback assistant guides the employee through the respective process using natural language. The artificial intelligence recognizes missing information, asks follow-up questions, and prepares the information in a structured way.

The collected data can then be transferred to existing systems like SAP and simultaneously made usable in the context of the respective system.

This way, the company does not have to choose between SAP and modern operation. It can retain the existing infrastructure while still improving the working reality of maintenance.

The most important insights from the episode

The central message is: **A strong background system is not enough. Operation determines the benefit.**

The most important key takeaways:

• SAP is the backbone of many industrial companies. It does not need to be replaced, but made more accessible.
• Complex screens slow down the workshop. Under time pressure, employees only enter the essentials or avoid documentation altogether.
• Bad inputs produce bad analyses. Without complete messages and feedback, even a powerful database remains a data grave.
• More training is not the only answer. Software must be more oriented towards users and their work situation.
• A UX layer translates between human and ERP system. It simplifies operation while SAP remains in the background.
• Language lowers the input barrier. The technician describes the process naturally, the artificial intelligence handles the structuring.
• User-friendliness increases data quality. Better data enables faster analyses, more effective knowledge transfer, and shorter repair times.

Therefore, do not only ask if your company has SAP.

Ask yourself if your employees really like and consistently use the system in their daily work.

Because the best ERP system is of little use if no one in front of the machine enters reasonable information.

• Identify operational barriers in the workshop
• Simplify message and feedback processes
• Complement SAP with a language-based UX layer