AI tools for ticket categorization and summarization

Hi all!

I have two use cases where I think an AI solution could help. We are open to paid 3rd party solutions!

I’ve explored some of the built-in Atlassian Intelligence features and looked a bit on Marketplace, but not finding what I’m looking for yet.

1. Ticket categorization

We have a huge backlog of feature requests and would like help categorizing them by “problem area”. I can imagine using automation to pass ticket data one at a time out to an AI LLM (like the workflow described but I think a better solution would be trained on our own past tickets (i.e. we manually categorize 100 historical feature requests and the AI uses the history when categorizing new tickets). Does anyone know of a solution like this?

2. Ticket summarization

We have a project where developers and product managers answer questions about our product. There is often some back-and-forth on ticket comments until the question is fully answered. Then the ticket is handed off to our documentation team. It can take significant time for them to figure out what information from the ticket needs to be documented, and it would be helpful to have a quick summary to orient them as they pick up new tickets. The summary should consider not just the ticket fields, but also the comment history. Does anyone know of an app or integration that can smartly summarize, including ticket fields, comments, and questions?

has anyone here tried using Atlassian Intelligence in combination with automation rules to improve ticket summaries? I’ve been testing it and it seems promising, especially for large teams managing tons of incoming requests. Wondering what others have found effective lately or if anyone’s using third-party AI tools they’d recommend for Jira.