Seven Tips for Your First AI Use Case

AI assistants are on the agenda of nearly every company’s leadership team. Many CEOs see them as an opportunity to optimize processes, drive growth, or make more informed decisions. Nevertheless, they hesitate to implement them. In most cases, there is no initial use case that fits within existing resources, nor is there a plan for how to implement it. Many start with the grandest vision imaginable and then realize that data is missing, interfaces still need to be built, or it remains unclear what benefits the project will ultimately deliver.

In his guest article for ITWelt.at , Prof. Dr. Heiko Beier, CEO of moresophy, offers seven tips for making a selection. The first step is to examine daily work routines: Where is time wasted every day, where do mistakes occur, and where do employees have to painstakingly gather information? Beier evaluates potential use cases based on their benefits, the available data, and the effort required. He explains why accessible and reliable data matter more at the outset than grand strategic goals, and how much autonomy companies should grant AI in the beginning. It’s also important to determine who maintains the content, who is responsible for incorrect answers, and when a human approves the results.

Ultimately, this leads to an insight that extends beyond the initial project. A good pilot project establishes data connections, access rules, and workflows that can serve as a foundation for future AI applications. Which process in your company would be the right place to start?