Automated configuration of software applications

A system comprising:

• at least one processor;
• and
• a storage device comprising instructions, which when executed by the at least one processor, configure the at least one processor to perform operations to:
• receive operational data of a network environment, an application, or a user device;
• use a machine learning model to classify the operational data into one of at least two categories, the at least two categories including:
• a conditional category generating a request for input from a user to verify whether the operational data is non-normal;
• and
• a non-normal category indicating a non-normal condition including at least one of an error condition, a high load condition, or an unexpected user input, the non-normal category associated with a specified configuration parameter to be applied to the network environment, the application, or the user device;
• in accordance with a determination by the machine learning model that the operational data is classified in the conditional category, output the request to the user to verify whether the operational data is non-normal;
• in accordance with a determination by the machine learning model that the operational data is classified in the non-normal category, adjust, by the at least one processor, a setting of the network environment, the application, or the user device using the specified configuration parameter associated with the non-normal category;
• and
• operate the network environment, the application, or the user device using the adjusted setting according to the specified configuration parameter.