Using AI to combat the shortage of skilled workers

Time for the essentials: AI reduces workload through automation

Monotonous tasks such as entering, sorting or checking documents take up valuable working time every day. AI-supported systems take over these routine tasks reliably and quickly - for example, when recognizing invoices, orders, ID cards or SEPA forms. They read data automatically, recognize formats and transfer them directly into the systems. Employees only check what the AI could not clearly assign. For example, if the system recognizes a PDF invoice, it automatically reads fields such as gross and net amount or IBAN. If a field is unclear, the employee receives a notification, checks the position and confirms or corrects the information. "This creates a gradual learning process - the AI watches, learns and gets better and better," explains Weber.

Human in the Loop: AI learns from humans - not against them

The central concept here is "Human in the Loop" - in other words, close collaboration between humans and AI. "Specialists remain involved in the process and pass on their knowledge to the systems. The AI learns from these corrections and continuously increases its accuracy. This creates trust and acceptance - both among employees and management," says Weber. This interplay of automation and human expertise enables continuous relief: skilled workers need to intervene less frequently, can concentrate more on demanding activities and are simultaneously involved in the further development of the systems.

Gradual relief instead of radical upheaval

"We're not talking about a replacement here, but a supplement," emphasizes Weber. "The transition to dark processing - i.e. fully automated processes - takes place in small steps and only according to the wishes of the respective company. Employees retain control and benefit from the reduction in workload at an early stage." In times of demographic change, when many experienced employees are retiring and specialist knowledge is being lost, AI can help to preserve this knowledge. Systems learn from the decisions of experienced employees and make this expertise permanently available, making an important contribution to safeguarding the company's expertise. "In the future, we will no longer talk about whether AI is used, but where it is already integrated as a matter of course," predicts Weber. "AI will become part of the new normal - and a decisive factor in keeping companies capable of acting despite a shortage of skilled workers."