This means that scaling is on an ascending trend, probably because the CEOs have started to realise the benefits of enterprise-wide deployment. There can be no denial that the KPIs make a significant contribution to this trend.

If this is so, it is legitimate to wonder about ways of optimally setting the KPIs for your RPA deployment. The question is related to the subject of choosing appropriate metrics for a comprehensive assessment of ROI, beyond the financial impact of leveraging RPA in your company.

In fact, the need to track various kinds of benefits, some of which are plain to observe and easy to calculate (the reduced costs of implementation, etc.) is a precondition of obtaining accurate estimates of the ROI made possible by automation. Setting your robotic process automation KPIs can thus be seen as a road opener for measuring ROI, which is itself a business metric.

It is important to keep in mind that KPI setting, just like running ROI estimations, is a complex issue that calls for several layers of analysis, from the easily noticeable financial benefits to the more intricate, qualitative ones like employees’ job satisfaction.

Our advice is that you should not aim for a generally applicable KPI picture since different processes have different sets of relevant indicators. The list below provides some guidance for the choice of indicators that is most likely to allow for rigorous appraisal of your automation journey.

How to set KPIs for your RPA deployment

The first 6 KPIs provide operational insights, while the last one is a business metric.

1. Implementation costs

This is an indicator with a significant influence on the ROI of your automation project, which is why it is important to include it among the success indicators. Generally, the budget required for RPA implementation is lower than that for other IT infrastructure projects, and the time to completion is much reduced (three months for a bot, compared with several years for IT infrastructure projects). Hence reliance on implementation costs can show the financial benefits of RPA beyond doubt.

2. Cycle time

Performance estimations based on the overall time it takes to complete a process is also likely to put RPA in a good light. Because of their capacity to accomplish routine tasks faster (and error-free), software robots lead to cycle time reductions. Moreover, bots do not get tired, nor do they have ‘holiday ideation’ so to say, which allows them to work steadily and consistently.