Digital WorkerProcess Mining Using advanced process analytics, our Digital Workforce can determine the bottlenecks and variances that are present in existing process execution. This is important for process automation decisions, as well as process redesign and optimisation. What are Digital Workers Robotic Process Automation Natural Language Processing Chatbots Process Mining Image and Voice Recognition Discovering inefficiencies with process mining Our process analytics toolkit automates the discovery phase by leveraging machine learning algorithms to identify the processes that are most suitable for automation. Instead of spending a large amount of manual effort in collecting data and understanding the process flow, our toolkit can automatically discover the problem. The toolkit can automatically create process diagrams and summarize process data statistic reducing time spent on analysing processes significantly.In real life even basic elements of process execution are often difficult to find: How long was it running? How many tasks were handled? How many different variants of the process are there? What kind of decisions are being made during processing? By collecting and analysing the data automatically what is happening inside the process is made visible. This allows automation decisions or process development actions to be based on real facts instead of guestimates.