Abstract: Techniques for generating Robotic Scripts via Process Variation Detection are described. In one example, captured process steps related to an activity performed in an application may be received. Variations of the process steps are then determined by training a first Artificial Neural Network (ANN) with the captured process steps. A set of the process steps for performing the activity, may then be determined based on the determined variations of the process steps. Robotic scripts may be generated using the determined set of process steps to perform the activity.