AI-supported diagnostics: Hella Gutmann integrates intelligent call for help function in mega macs X and mega macs S 20

• Faster repairs: Precise recommendations for action and components directly on the devices optimize workshop processes
• Always up-to-date: Ongoing developments in AI technology ensure effective workshop support

Ihringen, 2 July 2025. Hella Gutmann is focusing on AI-supported diagnostics, thereby further strengthening its lead-ing position in diagnostic technology. In May 2023, the company became the first manufacturer worldwide to integrate AI functionality into the mega macs X, establishing it as an intelligent, cross-brand, and automatic diagnostic tool. With the current Update 78, users of the mega macs X and the mega macs S 20 will have access to a new service: the AI-supported "Help Call" to the Technical Hotline. This is integrated directly into the already existing "call for help" function. "Our AI technology brings together all of Hella Gutmann's knowledge and provides workshops with precise recommendations for action and components on their Device in real time. This speeds up repairs considerably," says Fabian Bierenstiel, Head of Category Man-agement at Hella Gutmann.

The easy-to-use, AI-powered "Help Call" can be started directly from the mega macs X and mega macs S 20 after a full error code overall query. Users fill in the relevant form fields and submit their request. The AI generates well-founded repair recommendations based on proba-bilities and accessible via a link or QR code. If the AI response is successful, the ticket is au-tomatically closed. If the AI-based repair recommendation does not lead to the desired trouble-shooting, the request can be reopened at any time in order to contact the technical hotline per-sonally. Regardless of the result, users always receive an email about the processing status. "AI technology is continuously improving and ensures that users are always up to date," says Bierenstiel.

The AI-supported repair recommendation is also part of the "Automatic Diagnostics" in the mega macs X. "Automatic diagnostics uses real AI capabilities to optimize the diagnostic pro-cess through machine learning and big data analysis," says Bierenstiel. The function analyzes over two billion historical error codes in the background. The entire diagnostic process is com-pleted in less than five minutes on average, with a current success rate of over 80% in accu-rately identifying defects. With the continuous integration of AI technologies, Hella Gutmann promotes the development of advanced services and thus consolidates its leading role in the field of diagnostic technology.