Abstract: A system, method, and computer-readable medium for performing a customer service interaction estimation operation, comprising: training a customer service interaction estimation system using a training dataset of cases to provide a trained predictive model; identifying current open cases via the customer service interaction system; applying the trained predictive model to the current open cases to identify low customer experience cases; generating an estimation output relating to the current open cases, the estimation output identifying an open case subset of cases having a high risk of high effort to resolve.

Abstract: A system, method, and computer-readable medium for performing a domain specific evaluation operation comprising: storing domain specific data within a business query repository; determining and understanding variations within language for a domain specific category; performing a test planner operation on an identified NLP system, the test planner operation allowing a user to select a test plan to apply to the identified NLP system; and, evaluating the identified NLP system using a text planner output.

Abstract: A system, method, and computer-readable medium are disclosed for performing a customer support performance optimization operation which includes optimizing performance of an artificial intelligence (AI) enabled customer support system. The customer support performance optimization operation includes receiving a customer issue associated with a particular customer; classifying the customer issue; determining a solution to the customer issue; identifying an optimum support issue resolution option; implementing the optimum support issue resolution option; and, measuring customer satisfaction regarding the support issue resolution.

Abstract: A system, method, and computer-readable medium for performing a domain specific evaluation operation comprising: storing domain specific data within a business query repository; determining and understanding variations within language for a domain specific category; performing a test planner operation on an identified NLP system, the test planner operation allowing a user to select a test plan to apply to the identified NLP system; and, evaluating the identified NLP system using a text planner output.

Abstract: A system, method, and computer-readable medium for performing a customer service interaction estimation operation, comprising: training a customer service interaction estimation system using a training dataset of cases to provide a trained predictive model; identifying current open cases via the customer service interaction system; applying the trained predictive model to the current open cases to identify low customer experience cases; generating an estimation output relating to the current open cases, the estimation output identifying an open case subset of cases having a high risk of high effort to resolve.