https://docs.na.xarios.cloud/en-gb/config/ci/ Recent content in Conversational Intelligence on ~.Dimensions.~ Hugo -- gohugo.io https://docs.na.xarios.cloud/en-gb/config/ci/customdictionary/ Mon, 01 Jan 0001 00:00:00 +0000 https://docs.na.xarios.cloud/en-gb/config/ci/customdictionary/ Custom Dictionary # If there are words in the conversation that are not being transcribed correctly, you can add them to the custom dictionary. This allows the system to recognize these words and transcribe them accurately in future calls. Generally mis-transcribed words are product names or services that used by the customer that the transcription engine has no knowledge of. To add a word to the dictionary, press the 'Add Custom Dictionary Entry' button and then populate the following settings on the form: https://docs.na.xarios.cloud/en-gb/config/ci/businessareas/ Mon, 01 Jan 0001 00:00:00 +0000 https://docs.na.xarios.cloud/en-gb/config/ci/businessareas/ Business Areas # The business areas section provides a way to categorise and organise your customer interactions based on the business function or department they relate to. This can help you gain insights into which areas of your business are generating the most customer interactions, and identify trends or patterns in customer behaviour. The descriptions entered against each business area are used within the AI prompts to provide context on the type of interactions that should be categorised within each business area, so it is important to ensure they are descriptive and accurate. https://docs.na.xarios.cloud/en-gb/config/ci/keywords/ Mon, 01 Jan 0001 00:00:00 +0000 https://docs.na.xarios.cloud/en-gb/config/ci/keywords/ Keywords # The Keywords feature provides a way to search for specific words or phrases within transcribed conversations. This can be useful fo: Checking that users answer calls with the correct greeting Ensuring that specific information is collected during the call (e.g. customer name, reason for call) Monitoring for specific phrases that may indicate a positive or negative customer experience (e.g. 'thank you', 'cancel my subscription') Identifying calls that may require follow-up (e.