AI for Automation creation

[Nikola Perisic]

This feature would be similar to the one that we have for the JQL issue search, but instead it would ask the user what automation rule needs to be created where the user is asked to write their request as detailed as possible.

Sounds like a good way to leverage AI, plus it would be less time consuming for the admins to create these rules manually.

This would be applied to JSM, JSW and Confluence.

Thoughts?

[Nikola Perisic]

@Linh Pham_Ricksoft_Inc Yeah, this is it,thanks!

[Linh Pham_Ricksoft_Inc]

@Nikola Perisic great idea! I'm also learning more about Automation and found these resources for using Atlassian Intelligence with automation, maybe you will find it helpful too!

- https://support.atlassian.com/cloud-automation/docs/use-atlassian-intelligence-with-jira-automation/

- https://support.atlassian.com/confluence-cloud/docs/use-atlassian-intelligence-with-confluence-automation/ 

[Mister Alex]

Yeah, solid idea—natural language to automation rule creation would be a huge time-saver for admins in JSM, JSW, and Confluence. Let users describe the goal in detail (“when a high-priority ticket is created without a customer, notify the team lead and add it to the sprint”), AI generates the rule (triggers, conditions, actions), then shows a preview/edit step before saving. Reduces manual config errors and onboarding friction. Biggest wins: faster rule creation, fewer support tickets to Atlassian about “how do I do X”. Main caveats: need strong hallucination guardrails + easy way to tweak/fix bad generations. Overall, thumbs up—feels like a natural next step after smart JQL. What’s your priority use case for this?