After descriptive and augmented analytics, Babel uses process data to discover, monitor and improve by extracting available knowledge from information systems. 

The aim of these Process Mining solutions is to utilise and transform the existing data available in corporate and business processes. These analyses identify bottlenecks, optimisations, deviations and substantial process improvements. They do not uncover opportunities to optimise performance and maximise business results that traditional analytics would not be able to display. 

In a Hyperautomation approach with Process Mining + AI, it brings great advantages in a complex context to improve and ensure maximum benefit in automation initiatives. The application of Process Mining is a key element for making new initiatives in the area of hyperautomation viable in organisations.