AI Explorer

A central focus of the AI Innovation Center is direct cooperation with industrial companies: Feasibility studies (Quick Checks) and projects to develop initial prototypes (Exploring Projects) of AI applications. In addition, consortium projects and innovation networks are aimed at cross-company exchange.

Anchor final inspection - quality inspections using AI

An AI-supported system for the automated quality inspection of anchors is being developed to reduce manual inspections, detect damage at an early stage and cut production costs.

Use cases for artificial intelligence in the field of thermal spray processes and surface coating

The project identified relevant use cases for artificial intelligence in the field of thermal spraying. These were then subjected to a benefit analysis.

Digital integration

A linked knowledge database for the injection molding process is being set up to detect anomalies at an early stage and learn robust parameters. AI optimizes system parameters for new products.

AI Competence in Customer Support

In the project, potentials for the use of AI in customer service were identified and prioritized to sustainably increase service efficiency through forward-looking planning, intelligent automation, and improved information utilization. Based on a structured analysis, concrete implementation concepts are being developed for the three most promising use cases: social workforce planning, predictive maintenance, and an AI-powered assistance system.

AI potential in automation in the service sector

Workshops are used to assess the potential of AI-based services in the service sector. A data map and priority list help to plan the implementation of intelligent automation solutions.

AI use cases for the h-aero® platform

The AI Explorer identifies and prioritizes promising AI use cases for the h-aero® platform in order to make optimal use of resources and promote rapid implementation.

Planning Bot

The aim is to identify AI applications to improve production program planning. Employees receive training to develop use cases and support implementation.

Potential for the use of AI in electronic manufacturing services (EMS)

Efficiency in the customer order process is increased by an AI prototype that supports the automatic checking of Bills of Materials in the EMS sector. Inconsistencies and errors are detected and marked using sample data, which significantly reduces manual effort.