Automated Process Flow Learning

A non-transitory computer-readable medium storing instructions which, when executed by at least one of a plurality of processors, cause the processor to automate a process flow using machine learning, the automation comprising:

• training a machine learning component using training data that represents a user's past interactions with a software application when performing a plurality of process flows, wherein each process flow comprises a series of tasks in a sequence;
• receiving data related to tasks within the software application;
• predicting, using the trained machine learning component, a series of tasks and a sequence for the predicted series of tasks based on the received data;
• and
• performing the predicted series of tasks in the predicted sequence.

A process flow automation system comprising:

• a processor;
• a storage device coupled to the process and storing instructions that are executed by the processor to cause the processor to:
• train a machine learning component using training data that represents a user's past interactions with a software application when performing a plurality of process flows, wherein each process flow comprises a series of tasks in a sequence;
• receive data related to tasks within the software application;
• predict, using the trained machine learning component, a series of tasks and a sequence for the predicted series of tasks based on the received data;
• and
• perform the predicted series of tasks in the predicted sequence.