Scheduled Jira Data Aggregation and Cleanup

## Try It Out!
### This n8n template automates triaging of newly opened support tickets and issue resolution via JIRA.

If your organisation deals with a large number of support requests daily, automating triaging is a great use-case for introducing AI to your support teams. Extending the idea, we can also get AI to give a first attempt at resolving the issue intelligently.

### How it works
* A scheduled trigger picks up newly opened JIRA support tickets from the queue and discards any seen before.
* An AI agent analyses the open ticket to add labels, priority on the seriousness of the issue and simplifies the description for better readability and understanding for human support.
* Next, the agent attempts to address and resolve the issue by finding similar issues (by tags) which have been resolved.
* Each similar issue has its comments analysed and summarised to identify the actual resolution and facts.
* These summarises are then used as context for the AI agent to suggest a fix to the open ticket.

### How to use
* Simply connect your JIRA instance to the workflow and activate to start watching for open tickets. Depending on frequency, you may need to increase for decrease the intervals.
* Define labels to use in the agent's system prompt.
* Restrict to certain projects or issue types to suit your organisation.

### Requirements
* JIRA for issue management and support portal
* OpenAI for LLM

### Customising this workflow
* Not using JIRA? Try swapping out the nodes for Linear or your issue management system of choice.
* Try a different approach for issue resolution. You might want to try RAG approach where a knowledge base is used.

### Need Help?
Join the [Discord]({{ $env.WEBHOOK_URL }} or ask in the [Forum]({{ $env.WEBHOOK_URL }}

Happy Hacking!