boy i hope not. Atlassian has a bunch of old data to clean up before Rovo will be accurate the way it needs to be. I regularly get out of date information in my results from Rovo.
I think if your responsibilities are only simple configuration, user management, and project setups (adding automations, workflow, screens, users to groups, etc.) you might face headwinds in the future.
But there are plenty of scenarios that fall in the gray area where trade offs need to be decided or the AI wont have all the information because of compliance requirements.
For example; evaluating, executing, and managing AI tool adoption within and around your Atlassian applications. Should you leverage agentic tools like Cursor or Claude across your tech stack (including Atlassian) or is a hybrid approach using Rovo the right approach? Obviously someone could say if you give an AI enough information it can help you decide, but executing and managing that is a totally different story.
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