1. A method, comprising: determining, by a processor, whether at least one agent has followed at least one script relating to an automatic speech recognition component's ability to analyze at least one voice interaction between the at least one agent and at least one client; and dispositioning at least one interaction, wherein the at least one agent reads the at least one script to the at least one client, based on a comparison of a duration of the at least one interaction to an expected duration parameter associated with the at least one interaction, wherein the dispositioning comprises indicating the at least one interaction as potentially fraudulent if the duration is outside of an expected duration.
1. A method, comprising: determining, by a processor, whether at least one agent has followed at least one script relating to an automatic speech recognition component's ability to analyze at least one voice interaction between the at least one agent and at least one client; and dispositioning at least one interaction, wherein the at least one agent reads the at least one script to the at least one client, based on a comparison of a duration of the at least one interaction to an expected duration parameter associated with the at least one interaction, wherein the dispositioning comprises indicating the at least one interaction as potentially fraudulent if the duration is outside of an expected duration. 15. The method of claim 1 , wherein determining whether the at least one agent has followed the at least one script includes, at least in part, dispositioning at least one interaction, wherein the at least one agent reads at least one script to the at least one client, based at least in part on a comparison of data representing the duration of the at least one interaction to data representing an expected duration parameter associated with the at least one interaction.