Atlassian is evolving its internal approach to AI by hosting AI Builders Week, a dedicated quarterly event that equips hundreds of product managers and designers with advanced AI skills to build practical, end-to-end workflows that transform teamwork.
- Over 75% of Atlassian’s PM and design teams participated in intensive AI training.
- Event emphasizes moving AI from single-task automation to complete workflow transformation.
- Focus on hands-on prototyping to quickly transition from ideas to usable products.
What happened
Atlassian held its latest AI Builders Week, a quarterly event designed to push its internal teams deeper into AI integration by fostering hands-on experience with advanced AI workflows. The initiative attracted 77% of product managers and 80% of designers, providing them with technical curricula focused on agentic workflows, production-ready prototyping, and improving evaluation processes for AI applications.
The event aimed to reorganize how teams approach AI, shifting from isolated, task-specific tools to reshaping entire workflows collaboratively. Support from engineering leadership and design technologists helped teams build real prototypes, facilitating a direct link between idea generation and tangible, usable AI features within Atlassian’s products.
Why it matters
By adopting an AI-native development process through its AI Builders Week, Atlassian is positioning itself to remain at the forefront of AI-driven collaboration tools. The program encourages cross-functional teams to learn core AI skills, break down traditional role silos, and develop workflows that automate repetitive tasks while enabling new work styles.
This approach not only benefits Atlassian’s internal productivity but also serves as a testing ground and playbook for future AI features that will be offered to customers. It reflects a proactive strategy to use AI as a catalyst for innovation in enterprise software rather than a mere add-on, increasing the company’s competitive edge in the SaaS market.
What to watch next
Going forward, attention will focus on how Atlassian scales these AI workflows from prototypes to full production releases that impact millions of users. Success metrics will include user adoption, improvements in user productivity, and the ability to continuously iterate AI models and workflows based on real-world data.
Additionally, the company’s ongoing collaboration with external AI experts and its commitment to responsible AI practices suggest that future Builders Weeks will expand to incorporate broader industry insights and ethical standards. Observers should watch for new AI-driven product announcements that stem directly from this internal innovation engine.