By utilising Machine Learning, inSTREAM learns how to process each document. All documents follow the same process, including exceptions and anomalies which do not require technical skills for the creation of new templates. Instead, inSTREAM learns through the natural consequence of processing and through collaborating with operators in a system called ‘Human in the Loop’. inSTREAM learns from every transaction it processes, therefore as the volume of documents increase, its confidence and accuracy improve to a point where Straight Through Processing (STP) is achieved. As inSTREAM’s confidence and accuracy increases, the amount of interaction needed with humans decreases enabling employees to focus on the complex, value-based and rewarding tasks.