Abstract: A system and method for developing an artificial specific intelligence (ASI) interface for specific software. The system identifies a specific software package and the user base. The system creates an interaction model for the software based on how users interact with it. Using this model, an initial version of the ASI interface is generated. The system deploys this initial version to a subset of the user base and collects interaction data between the ASI interface and the users. By analyzing the interaction data, the system identifies interaction patterns and pre-defined issues faced by the users. A machine learning model is trained using these patterns and issues. Finally, the system optimizes the initial ASI interface based on the trained machine-learning model.