The limitation of RPA lies within the unpredictability of other tasks within an end-to-end business process, such as unstructured document processing which still requires manual intervention for exceptions. To overcome this barrier and achieve far greater efficiencies, organisations need to consider complementary solutions such as Machine Learning and Natural Language Processing (NLP) as part of a Digital Transformation Journey. Technology applications such as Machine Learning in combination with RPA enables organisations to process the unpredictable data through a system called ‘Human in the Loop’ which enables it to learn through the natural consequence of processing and through learning from the actions and decisions operators make.
RPA needs to be viewed as part of a wider suite of technology applications within an Intelligent Process Automation (IPA) solution. In doing so organisations can overcome many of the limitations of individual technologies and achieve far greater efficiencies, scalability and growth.