My ideas: AI tagging
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1
VOTE
[measure] Track conversation tagged by AI in export
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. ...
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3
VOTE
[accuracy] Option to reuse the message samples used for training after a tag deletion
Case: after tag deletion Situation: Currently, when an admin deletes an AI tag from an AI tagging rule, the associated message samples used for training are also removed. If the admin wishes to add the tag back, they must go through the process of...
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1
VOTE
[activation] Option to stop the daily email notification
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...
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2
VOTE
[context] Ai tagging based on entity in conversation (date, duration, amount...)
Situation & Request Wish to tag based on non-semantic values such as dates, amounts, and durations. Currently, the AI Tagging tool is not equipped to detect and apply tags based on these structured data types. Potential Solution Invest in enti...
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Backlog
2
VOTE
[activation] have the training messages to respect the rule conditions
situation: If the rule conditions have a not from X, then it's confusing to have messages in the training messages not respecting the rule condition request: Respect the rule conditions for the selection of the message to review
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3
VOTE
[activation] Shared AI training for same tag across AI tagging rules
Situation: when I want to create an AI tagging rule for multiple inboxes, all using the same tag (e.g., VIP), I have to train the AI, by reviewing message samples, separately for each rule, even though it's the same tag. Request: Streamline the pr...
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Backlog
5
VOTE
[context] AI to "understand" images (summary, similar conversation, tagging, suggested replies & AI answer ...)
Request: AI features to be multi-modal, meaning they could understand images within the content they are based on. For example, SimilarConversation could recommend a conversation that includes a similar image, AI tagging could classify content bas...
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6
VOTE
5
VOTE
[package] Automatic CSAT from conversation analysis
Context: Understanding customer satisfaction is important for our business, however, today's approaches are too imperfect: Survey : asking users directly. Response rate low (1-3%) and polarized (super happy or frustrated) Not representative of all...
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2
VOTE