Resource Type: Video

Getting disappointing results from AI? It could be because AI is often used like a vending machine — type a prompt, hope something usable comes back. 

There’s a better approach. 

This session demonstrates a repeatable, human-guided AI loop where curated discovery inputs turn Atlassian Intelligence into a true teammate that delivers actionable, high-quality work. You’ll learn a framework for improving Atlassian AI performance by providing the right context through the Teamwork Graph, a pattern that works across teams and workflows. We’ll make it real with a live product discovery-to-development example, showing how better inputs turn rough ideas into clear, buildable work. 

The key insight: AI is only as good as the context it’s given. Curation drives quality. Verification drives confidence. When humans invest in the right inputs up front and confirm the output, AI starts producing work that’s genuinely useful, and speed to value follows. 

Key Takeaways 

• Learn a repeatable framework for improving Atlassian AI outcomes by providing the right context through the Teamwork Graph. 

• See how curated context, not clever prompts, determines AI output quality. 

• Build reusable context assets using pattern pages and agent configuration. 

• Brief an AI agent the same way you’d brief a new team member. 

• Apply the iterative loop: human curates context, AI drafts and improves, human verifies. 

• Compress idea-to-ready timelines without sacrificing clarity or rigor 

As Atlassian Data Center approaches end of life, organizations face a critical inflection point. Some are planning their move to cloud. Others already in cloud are asking a different question: how do we realize the value we expected?

In both cases, the challenge is the same. Moving platforms does not change how teams work. Without an intentional approach, migrations carry forward existing behaviors, adoption slows, and AI capabilities remain underused.

In this webinar, Cprime presents a clear view of what drives value in Atlassian Cloud and introduces a proven path for turning migration or existing cloud investments into measurable outcomes. We show how to redesign ways of working, govern change with discipline, and embed intelligence across Jira and Confluence so cloud supports better decisions, faster execution, and sustained improvement.

What you will gain:

• What drives value realization in Atlassian Cloud, whether you are migrating or already live
• The risks of moving to cloud or operating in cloud without a clear path
• How leading organizations turn migration and cloud investments into measurable, compounding ROI
• Why most teams capture only a fraction of Atlassian Cloud’s potential
• How to close adoption gaps and embed AI into real workflows
• The core elements of a path from migration to sustained performance
• The operating model behind aligned, high-velocity teams
• How to measure and improve Atlassian value over time

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