Abstract: Disclosed are systems and methods that provide a novel framework for centralized management of a location (e.g., jobsite, for example) and/or the users operating therein. The disclosed framework can operate so as to monitor the performance of tasks performed by users at a location, which can enable the determination of how effective, efficient, compliant and/or safe the user is being. Such information can be utilized to train machine learning and/or artificial intelligence (ML/AI) models that can be recursively applied to ensure performance levels and safety measures of each users'operation at the location. The framework can further be applied to compile learned activity behaviors into computer-executable instructions that can be used to automate certain tasks at the location via specifically configured real-world and/or digital assets (e.g., machinery or robotics at the jobsite, for example).