Artificial Intelligence within Atlassian ecosystem

Well, Jira and Confluence have built-in smart search, predictive assignment, and user mentions, but you can add some more enhancements with these amazing addons:

🧙 AI Portfolio Roadmap Planning for Jira by MoroSystems makes it a lot easier to align your company’s plans. What-if scenarios, capacity outlooks, and work dependencies are at a glance showing the impact of your decisions during the planning meeting. You’ll be able to obtain new insights in a minute you discuss possibilities with your colleagues.

😎 Alleidium AIssistant by Allied Testing empowers your customfields with AI assistant which would fill in the necessary information based on historical data. It saves A LOT of time, especially for service teams working with well-defined processes with a small variable part. This doesn’t mean that you’ll get more errors, AIsisstant works together with humans, not instead of.

🤖 AI Insight for Jira Service Management by Izymes helps to discover customer satisfaction deeply through understanding their emotional state while they interact with your support agents. The ability to report on customer and agent sentiment can help you analyze service trends as well as build and test improved dialog strategies. AI Insights for Jira Service Management received an honorable mention at Atlassian Codegeist 2020.

🤩 AI for Jira — Sentiment Analysis and smart suggestions by Ravenshift is a great alternative for AI Insight for Jira Service Management with built-in OCR (Optical Character Recognition)

🦾BTW you might love to check ML1 by Exadel if you use Data Center since it’s the only AI addon available for non-Cloud installations.

I expect to see a lot more smart helpers incorporated into the Atlassian ecosystem in the next 5 years and I can’t wait to see it 🤠