AI

Its useful to get a happiness score generated because it would allow us to see how well our reps are doing at a glance without having to read through everything. A low happiness score will auto flag and we can deep dive into the conversation.

Leverage various criteria from audit trail to surface during QA. For instance: Who added which tags Message deletions Usage of message templates

We would like to be able to implement AI features for our own instance of Front using our own Open AI API key.

I would love to know if/when NLP and LLMs will be available for dynamic object extraction. Currently the feature is pretty limited by the user providing an exact match, which isn’t great for a white glove customer experience.

Situation: As an admin, I want to be able to check / track conversations that have been tagged by AI so that I can audit them. Today, it is only possible to see them as part of the search when clicking on "View" inside the rule selected tags tab. ...

Situation: Similar conversations only supports English because the embedding are in english for now. Request: Support more languages

Situation When admins are setting up an AI tagging rule, they receive daily email notifications informing them of new message samples that need validation. However, in cases where they either do not complete the training process or no longer requi...

Being able to auto-summarize conversation thread for other channels than email

The summary's structure and granularity don't match all use cases. Support agents need more specific information than a collaborator or manager joining a conversation