Atlassian

    Getting started

    Welcome to the AI Builder Suite toolkit. We created it to share what we've learned from Atlassian's internal AI transformation.

    Use it to find practical guidance and best practices for rolling out AI upskilling and reskilling. The content is written for product managers and designers, but many of the rollout patterns can work for other crafts too.

    How to use this playbook

    Welcome to the AI Builder Suite Toolkit. We put this together to share what we have learned from Atlassian's internal AI transformation: practical wisdom, best practices, and curriculum you can adapt for your own AI Builders Week.

    1

    Set the purpose

    Decide why your organization is running the week, who it is for, and what behavior you want to change.

    2

    Choose the agenda

    Pick the inspiration, foundations, tools, and SDLC sessions that match your team's maturity and tool suite.

    3

    Run the sessions

    Use the facilitator notes to prepare speakers, mentors, examples, and hands-on exercises.

    4

    Make time to build

    Give teams dedicated build time, then use demos or share-outs to spread what they learned.

    How to use the toolkit

    As you move through the toolkit, there are two recurring types of callouts to look for.

    Facilitator notes

    These purple boxes help people run the sessions. Use them to prepare, learn from Atlassian's practices, and make each session land well.

    AI Builders Week curriculum

    These blue boxes mark curriculum content you can reuse or adapt. Some examples use Atlassian tools, but the patterns can guide similar tools in your organization.

    How the week is structured

    The toolkit is organized around a week. At Atlassian, we run AI Builders Week once a quarter. Teams pause day-to-day work and spend the week on AI upskilling, training, and practical application. Dedicated time helps teams embed changes in their workflows.

    Across the toolkit, you’ll see three broad categories for how we spend time during AI Builders Week: inspiration, training, and building and demoing.

    What we mean by “build”

    Throughout the toolkit, “build” means the practical work teams do to apply what they've learned. A build might be a prototype, workflow, template, process change, or demo. The goal is to create something tangible that teams can share and use to show how they're applying AI in their own environment.