What is crowd mining?

What the future of process management will look like - and should look like!

What actually is this "crowd mining". Well, as the word already says: Crowd - Mining; mass - promotion. Or even better: the PROMOTION of the company's own knowledge and the experience of the MASS. But how exactly can this help the company? And what does all this have to do with "normal" process management? Let's take a closer look.

The start: The process of process management

Process management in itself is very helpful. After all, it offers an incredible number of advantages that are of great benefit to many companies, especially in today's increasingly digitalised world. Whether it is a support for the digital transformation or a booster for the productivity of the company, there are many reasons why the introduction of an orderly process management is worthwhile.

So far, so good. The workflow with which process management is often practised in companies is nevertheless somewhat outdated. Often, only a few process managers are responsible for managing and, above all, filling the system. So in this sense, the person who actually carries out the process in reality is not also the one who enters the process with all its subtleties into the system. Instead, this is done by a process manager who has to request the process from the staff member carrying it out beforehand. We do not need to mention here that information can be lost in this form of process recording. It is much more important to consider how much time this workflow can take: The process manager is constantly busy asking questions from staff member to staff member and having processes dictated to him. And when he has finished? Then the game starts all over again.

Especially in a very large company, this is simply not a productive way of working. Especially since a system filled by a few "experts" can also have a high barrier to entry. We have now asked ourselves: How can we finally subject process management to process optimisation?

The solution: organisational crowd mining as a continuation of process management

Well, the levers that we see for solving the problem are actually quite simple: You promote the process owner himself to an expert of his processes. He or she stores his or her own processes in the system. The former process manager is assigned more administrative tasks for the management system. It is therefore an empowerment of a large number of employees (the "crowd") who are responsible for their processes anyway and are therefore encouraged to nurture and maintain them in the aiio. One drills deep into the knowledge of one's own staff ("mining") and thus obtains an all-encompassing knowledge base for the knowledge and experience that exists in the entire company.

The advantages of crowd mining are also quickly apparent. By setting up the process manager as a "process expert" within the system, it is above all ensured that the processes entered really correspond to the real processes. The process manager, who now spends more time in the background, saves an enormous amount of time because he only sends the request for process recording to the process owner instead of recording the entire process himself each time. Instead, he can better focus on modelling the recorded processes as well as optimising the actual processes that aiio has collected from the employees involved. The participation of the employees also significantly increases the acceptance of a process management system filled with crowd mining.

aiio's Payoff: Process management finally as a TEAM task

So with crowd mining, we finally make our process management an inclusive experience for the whole team and the whole company. All employees are involved in process management and thus become "experts" for their own processes. With aiio, those who were previously only CONCERNED become active PARTICIPANTS. That is the power of the whole - the power of crowd mining. That is aiio.