Intelligent Process Automation
At Zuiver ICT we believe that with the help of new technologies such as data analytics, process analytics, machine learning and software robots, processes can be improved quickly and drastically. This applies to, among other things, process costs, lead time, productivity, customer experience and employee satisfaction. With the help of the new data-driven technologies and methodologies, intelligence is added to the processes themselves and, as a result, they themselves become 'smarter': Organizations are thus able to adapt themselves better and faster to continuously changing circumstances..
Examples of Intelligent Process Automation are:
- Decisions that are made in processes are supported by data analyzes or independently implemented by algorithms
- Smart algorithms continuously monitor the risks in the process and inform the process owner of an undesirable risk
- Software robots are adjusted on the basis of current changes in the process or the information that appears
- Process analyzes are performed automatically when you enter the analysis question.
All these applications are based, among other things, on data produced by the organization and its environment. Making data more intelligent with the help of data is called "Intelligent Process Automation".