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Summary:

The objective of this Master Thesis is to discover the criteria required for a successful RPA

assessment and, therefore, raise the chances for a successful implementation. This

research intends to give organisations a tool to assess potential processes for automation

effectively. The literature reviewed for this study is previous research of RPA as well as

successful case studies. The theoretical part of the study was completed by interviewing

six experts in the field. The result of this thesis is the creation of two tools that assist

organisations with the selection, assessment, and prioritisation of processes for

automation.

The research suggests that it is crucial to conduct a process assessment before

development since many RPA projects fail due to poor choice of processes. The results

suggest that there are ten main criteria when evaluating a process for RPA and three

criteria which in combination with some of the main criteria have an impact on the

prioritisation.

The Process Assessment Model is a simple but effective tool for organisations to quickly

remove processes that are not ideal for automation with RPA. The Process Assessment

Formula is a tool which calculates the complexity of the process as well as the value it will

provide if automated to decide whether the process should be automated and

categorise it in the priority table.

These tools can assist organisations in deciding effectively which processes can be

automated, and which are suitable for automation. Furthermore, the Process Assessment

Formula can prioritise the full list of processes in order to discover which processes will

provide the highest value to the organisation.