Abstract: An adaptive conversational system may simultaneously monitor multiple active calls or ongoing voice or telephone conversations, may extract a different set of conversation elements from a current point in each conversation in real-time as each conversation proceeds, may determine different rules that apply to current points of different ongoing conversations based on the extracted conversation elements satisfying different rule triggers, and may control different conversations at different times according to actions of different rules that are applied at different times to different conversations. The system may selectively control the conversations when the conversations become non-compliant, deviate from best practices, or can be controlled to more effectively reach a positive disposition than when allowing a telephone agent to independently control the conversation.

Abstract: A conversation system may dynamically control a conversation or workflow by performing multi-modal conversation monitoring, generating actions that control the conversation based on the multi-modal monitoring producing conversation elements that deviate from patterns of a selected plan for that conversation, and/or by dynamically generating and/or updating the plan for future conversations based on the pattern recognition. For instance, the conversation system may detect a pattern within completed conversations that resulted in a common outcome, may monitor an active conversation between at least an agent and a participant, may extract different sets of conversation elements from different points in the active conversation, may determine that a particular set of conversation elements deviates from the pattern, and may modify the active conversation by performing one or more actions based on the particular set of conversation elements that deviate from the pattern.

Abstract: A conversation system may dynamically control a conversation or workflow by performing multi-modal conversation monitoring, generating actions that control the conversation based on the multi-modal monitoring producing conversation elements that deviate from patterns of a selected plan for that conversation, and/or by dynamically generating and/or updating the plan for future conversations based on the pattern recognition. For instance, the conversation system may detect a pattern within completed conversations that resulted in a common outcome, may monitor an active conversation between at least an agent and a participant, may extract different sets of conversation elements from different points in the active conversation, may determine that a particular set of conversation elements deviates from the pattern, and may modify the active conversation by performing one or more actions based on the particular set of conversation elements that deviate from the pattern.

Abstract: A conversation system may dynamically control a conversation or workflow by performing multi-modal conversation monitoring, generating actions that control the conversation based on the multi-modal monitoring producing conversation elements that deviate from patterns of a selected plan for that conversation, and/or by dynamically generating and/or updating the plan for future conversations based on the pattern recognition. For instance, the conversation system may detect a pattern within completed conversations that resulted in a common outcome, may monitor an active conversation between at least an agent and a participant, may extract different sets of conversation elements from different points in the active conversation, may determine that a particular set of conversation elements deviates from the pattern, and may modify the active conversation by performing one or more actions based on the particular set of conversation elements that deviate from the pattern.

Abstract: A conversation system may dynamically control a conversation or workflow by performing multi-modal conversation monitoring, generating actions that control the conversation based on the multi-modal monitoring producing conversation elements that deviate from patterns of a selected plan for that conversation, and/or by dynamically generating and/or updating the plan for future conversations based on the pattern recognition. For instance, the conversation system may detect a pattern within completed conversations that resulted in a common outcome, may monitor an active conversation between at least an agent and a participant, may extract different sets of conversation elements from different points in the active conversation, may determine that a particular set of conversation elements deviates from the pattern, and may modify the active conversation by performing one or more actions based on the particular set of conversation elements that deviate from the pattern.

Abstract: An adaptive conversational system may simultaneously monitor multiple active calls or ongoing voice or telephone conversations, may extract a different set of conversation elements from a current point in each conversation in real-time as each conversation proceeds, may determine different rules that apply to current points of different ongoing conversations based on the extracted conversation elements satisfying different rule triggers, and may control different conversations at different times according to actions of different rules that are applied at different times to different conversations. The system may selectively control the conversations when the conversations become non-compliant, deviate from best practices, or can be controlled to more effectively reach a positive disposition than when allowing a telephone agent to independently control the conversation.

Abstract: An adaptive conversational system may simultaneously monitor multiple active calls or ongoing voice or telephone conversations, may extract a different set of conversation elements from a current point in each conversation in real-time as each conversation proceeds, may determine different rules that apply to current points of different ongoing conversations based on the extracted conversation elements satisfying different rule triggers, and may control different conversations at different times according to actions of different rules that are applied at different times to different conversations. The system may selectively control the conversations when the conversations become non-compliant, deviate from best practices, or can be controlled to more effectively reach a positive disposition than when allowing a telephone agent to independently control the conversation.

Abstract: An adaptive conversational system may simultaneously monitor multiple active calls or ongoing voice or telephone conversations, may extract a different set of conversation elements from a current point in each conversation in real-time as each conversation proceeds, may determine different rules that apply to current points of different ongoing conversations based on the extracted conversation elements satisfying different rule triggers, and may control different conversations at different times according to actions of different rules that are applied at different times to different conversations. The system may selectively control the conversations when the conversations become non-compliant, deviate from best practices, or can be controlled to more effectively reach a positive disposition than when allowing a telephone agent to independently control the conversation.