Your agents are manually reading tickets to route or prioritize them which makes it inefficient

Your tickets are tagged manually by agents or users, making your data sometimes unreliable

A low percentage of your tickets have data making it hard to understand why your customers are contacting you

A ticket backlog that is difficult to resolve

You have urgent / legal cases you need to identify and solve in priority

A lot of time is invested in maintaining your tags as your business evolves

Updating your numerous triggers/automations is a challenge

You want to reduce your tickets by improving your product

Building the initial tagging model for automations or launching a chatbot