If your company is completely digitalized, another step towards AI can be the digitalization and automation of existing, defined processes (Robotic Process Automation, RPA). This takes advantage of the fact that machines can perform more logical computing operations than humans.
This does not yet involve self-learning applications, but rather rule-based applications that are hard-coded. Their sole purpose is to relieve humans of standardizable, repetitive administrative work, and they can then turn to more demanding tasks. The term “assisted intelligence” implies that the intelligence lies with the user. Such rule-based applications can save people time. A necessary prerequisite for process automation is RPA-enabled data management systems.
If you “only” want to automate existing processes, you will miss an opportunity to optimize your processes. You will be able to realize efficiency potential, but not effectiveness potential. Collaboration will not work any better than it does now as a result of pure digitalization. Take the opportunity to critically review and improve your processes before automating them.
For example, RPA can be used to create and visualize management cockpits. The system for aggregating the information is usually predefined in this case. If you want to gain new insights, analysis with business intelligence is a good option.