Abstract: Systems and methods to provide a recommendation for an action based on an application policy are disclosed. The application policy may be associated with an organization. An application policy engine can use an artificial intelligence (AI) engine to execute a machine learning (ML) model. The application policy engine may receive real time video data or audio data, and obtain metadata comprising reference data or environment data. The application policy engine can process the real time video data or audio data using the ML model to infer biometric characteristics associated with a subject. The application policy engine can determine if the application policy was met, conformed to, or missed based on a correlation between the metadata and the inferred biometric characteristics, and provide a corresponding recommendation for an action.