AI AutoTagging

Front currently has a "tag" feature where a company can create a list of tags and mark each conversation with any number of them. At my company (Collective), we have around 30-40 tags that our Support team currently uses. However, manually tagging is time-intensive and is inconsistently practiced across the org, leading to suboptimal results.

Tuning an AI model to select tag(s) from a predefined list for each company and tagging each conversation with any and all relevant tags would be an awesome product. This would allow a company like mine to save a bunch of time so that our support team doesn't have to tag conversations manually and would allow us to get consistent insights that tags are meant to provide (what topics are customers having the most problems with, which issues tend to come up more during certain times of year, etc.)