To start with let’s go the conventional way, i.e. using process mining software to understand the processes in an enterprise. This can be done by reading their event logs and by applying sophisticated algorithms user can generate business process maps which would be used for further analysis. Since the user level activity is not focused to a greater extent by process mining, there is a miss to identify process exceptions or variations. This approach also fails to capture system interaction and to arrive at solutions from reading the system event data is time-consuming. Also, in an enterprise, business process span through many up stream and down stream applications/ systems, which is very important to understand the dependencies to plan a successful automation strategy.

Since Process Mining doesn’t capture task-level data, the business process maps end up not representing the full complexities of business processes. Process Mining tools are also separate from an RPA solution and hence an enterprise would have to look at integration between RPA and Process Mining tools to align two vendors for an efficient output.

On the contrary, SurfaceAI – a process discovery tool which captures the process across wide spectrum of enterprises without disturbing the ‘AS-IS’ process. The data collected by SurfaceAI is empirical and uses a proprietary algorithm to capture process more effectively and extract metadata to generate BPMN process flows & AS-IS process maps. Thus, it ensures that the enterprise’s automation initiatives won’t fail and can bypass bottlenecks caused by human biases and errors. This leads to faster value realization of RPA and better ROI.