A system and method for automated chatbot testing to provide training and quality assurance of conversational artificial intelligence systems, comprising a chatbot testing administrator interface which allows chatbot makers to define what a chatbot is supposed to do, create test scripts to test the performance of the chatbot, and review the results of the chatbot tests, a chatbot testing server which provides and interface between chatbot testing agents and the administrator interface, instantiates chatbot agents and distributes them across available hardware and runs testing programs which activate, configure, and deactivate chatbot testing agents as needed. A plurality of chatbot agents may be running in parallel to provide automated testing based upon test script configuration.

A system and method for receiving and executing emoji based commands is disclosed. The system and method may include processes such as identifying ,emojis in a message, determining one or more action based on the emoji, and completing the determined actions.

The technology disclosed herein enables automatic specification of audio transmission characteristics for calls between endpoints. In a particular embodiment, a method includes presenting a query to a user of a first endpoint about a type of call to be established with a second endpoint. The type of call is one of a plurality of call types that respectively correspond to different audio transmission characteristics. The method further includes configuring an audio transmission characteristic based on a response to the query and establishing a call between the first endpoint and the second endpoint using the audio transmission characteristic.

A system and method for receiving and executing emoji based commands in messaging applications. The system and method may include processes such as identifying emojis in a message, determining one or more action based on the emoji, and completing the determined actions.

A system comprising a call center, contact system test engine, plurality of networks, at least one remote server, at least one remote database, which allows users to automate call center testing and combine synchronized results for agent-customer calls (AX-CX test synchronization). The system is further accomplished with methods, using different techniques for synchronizing the testing for both customer and agent results, and producing these test results in a mobile dashboard and web-accessible dashboard.

A system for remotely and interactively controlling visual and multimedia content displayed on and rendered by a web browser using a telephony device. In particular, the system relates to receiving a voice input (e.g., dual tone multi-frequency DTMF input, spoken input, etc.) from a telephony device (e.g., a landline, a cellular telephone, or other system with telephone functionality, etc.) via a wide-area network to an intermediary computer that is configured to control the rendering of one or more web pages (or other web data) by a standard web browser.

A system and method for automated chatbot testing to provide training and quality assurance of conversational artificial intelligence systems, comprising a chatbot testing administrator interface which allows chatbot makers to define what a chatbot is supposed to do, create test scripts to test the performance of the chatbot, and review the results of the chatbot tests, a chatbot testing server which provides and interface between chatbot testing agents and the administrator interface, instantiates chatbot agents and distributes them across available hardware and runs testing programs which activate, configure, and deactivate chatbot testing agents as needed. A plurality of chatbot agents may be running in parallel to provide automated testing based upon test script configuration.

Various embodiments of the invention provide methods, systems, and computer-program products for handling a call reaching a party's voicemail. A predictive model is used to generate a first probability of an outcome occurring as a result of leaving a voicemail message and a second probability of the outcome occurring as a result of sending a text message. If the first probability is greater, an IVR uses DTMF tone(s) to bypass a greeting on the voicemail so that a message can be recorded with minimal time. If the second probability is greater, the call is ended and an email is sent to the party's service provider using an email address comprising a mobile number for the party and a domain portion specific to the provider. As a result, the provider delivers a text message to the party with the body of the message including the content of the email.

A system and method for automated customer response system mapping and duplication to provide for a common Interactive Voice Response (“IVR”) system import language or structure, comprising a contact center crawler which connects with an existing automated contact center system, may navigate and map that system by recording and selecting each available option or by interfacing with the code that makes up the IVR itself to generate a model, records the response to each selected option, and feeds the options and responses to a tree creator; a CX model generator which organizes the options and responses into a data map such as a tree or more graph-like or map-like structure, where logical conditions or operations such as loops and recursion may be present; and a coding engine that generates programmatic code representing the data model that is imported into another IVR platform for execution.

A system and method for chatbot and search engine integration comprising chatbot crawler engine configured to detect all possible paths through a conversational flow between a chatbot and a user, and also comprising a chatbot search integration manager configured to receive a processed conversation flow from the chatbot crawler engine, parse the conversation flow to identify keywords and features, and build an indexable data structure which can be integrated into search engines in order to expose the information and data contained within the chatbot's knowledge base. This integration may allow search engine users to be redirected to a website hosting the chatbot when an indexed data structure comprises information relevant to a search engine query.