AI in Mechanical Engineering: Which Use Cases Truly Create Business Value

Many industrial companies have already developed initial AI concepts or launched pilot projects. However, they often lack a solid foundation for identifying economically relevant use cases, realistically assessing technical requirements, and setting targeted priorities.

A lack of transparency regarding benefits, available data, and feasibility makes it difficult to make well-informed decisions. As a result, many individual ideas compete for resources without it being clear which ones will contribute most to the company's success.

In this live webinar, we’ll join forces with ensign advisory to demonstrate how to systematically evaluate and prioritize industrial AI use cases. The focus will be on economic benefits, operational relevance, technical feasibility, and data maturity.

Using an example results screen, you’ll learn how companies identify the most promising use cases from a wide range of possibilities. You’ll also gain insights into the process—from the initial assessment through a pilot to a well-informed decision on scaling.