Williams Racing doesn’t just have Atlassian’s logo on its car — it runs the entire organization on Atlassian software, pays full price within Formula 1’s strict cost cap, and has built a technology stack that is redefining what enterprise AI can look like in a high-stakes environment.
At Atlassian Team ’25 in Amsterdam, Techzine TV sat down with Andrew Boyagi, customer CTO at Atlassian, for one of the most detailed conversations we’ve had about what it actually means to deploy enterprise software inside a Formula 1 team. The answers go far deeper than you might expect.
This isn’t a story about branding or sponsorship. It’s a story about transformation — about how a team that is rebuilding toward the front of the grid is using software to do it, and about the frameworks Atlassian has developed that apply not just to motorsport, but to every organization navigating the age of AI.
What’s in the video?
The partnership that surprises everyone
The commercial reality of how Atlassian and Williams work together is not what most people assume. There is a reason both sides are particularly proud of this arrangement — and it has everything to do with Formula 1’s cost cap.
A product deployment you won’t believe
The number of Atlassian products Williams uses, and the adoption rates across the organization, are genuinely striking. What is even more surprising is how those numbers were achieved — with no executive mandate.
The scale of a Formula 1 car
Before you can understand how the software works, you need to understand the physical and engineering complexity it is managing. The numbers involved — in parts, in faults, in assets — are extraordinary.
A framework for AI-era teams
Atlassian has developed a four-part model for what it takes to make AI work inside a real organization. Understanding why each of the four elements matters — and what happens when any one of them is missing — could change how you approach your own AI strategy.
Context-aware AI: the front wing question
There is a moment in this interview where Boyagi asks a simple question about a front wing upgrade — and then shows what happens when a generic AI answers it versus what happens when Atlassian’s teamwork graph is involved. The difference is remarkable.
What really happens in a race garage
Between 300 and 350 faults are identified with the car every single race weekend. Atlassian has embedded an AI agent directly into that flow to solve a problem that most enterprise teams will immediately recognize from their own incident management workflows.
Key topics covered
- Why Williams pays full price for Atlassian products within the F1 cost cap
- Which Atlassian products Williams uses and at what adoption rates
- How software development works inside a Formula 1 team
- The journey of a car part from idea to racetrack
- Atlassian’s four flows framework for high-performing teams in the AI era
- How the teamwork graph delivers context-aware AI answers
- Real-time fault management during race weekends
- How a Rovo AI agent is cutting response times at the factory
Hit play and find out what enterprise technology looks like when the deadline is measured in milliseconds.