From iconic cars to intelligent experiences: How Mercedes-Benz is creating the software-defined vehicle with Atlassian

We can only achieve our goals for speed and deliver on our promise for software-defined vehicles when we have a great platform. That’s why we rely on Atlassian.

Magnus Östberg

Chief Software Officer, Mercedes-Benz

Key Results

  • 50,000+ Employees across the business working together on Atlassian
  • 10x Faster software delivery on Atlassian
  • 90% Quality improvement in defect intake and triage with Rovo Agent
  • 85% Faster detection of duplicate defects with Rovo Agent, saving significant time and waste

About Mercedes-Benz

The Mercedes-Benz Group AG (former Daimler AG) is one of the world's most successful automotive companies. As the inventor of the automobile, Mercedes-Benz has been shaping individual mobility and driving innovation for over 140 years.

  • Industry: Automotive
  • Number of users: 50,000
  • Location: Germany
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Challenge

Mercedes-Benz Operating System (MB.OS) is helping the organization move from a traditional auto manufacturer into a software-defined vehicle innovator. However, legacy infrastructure and silos were holding its R&D and IT teams back from collaborating at scale and innovating with AI.

Solution

The company is centralizing its people, work, and context on one AI-powered platform. With Atlassian Cloud Enterprise and Rovo as the engine of Mercedes-Benz’s unified System of Work, 50,000+ technical and business employees are coming together to accelerate delivery, innovation, and value.

Impact

Mercedes-Benz builds on a strong foundation and has taken its performance to the next level. Productivity, efficiency, quality, cost control, and compliance have all been further strengthened. Across the organization, teams collaborate seamlessly on a shared platform and leverage AI to bring the next generation of high-quality software-defined vehicles to market even faster.

A historic automotive brand reinvents at high speed

More than 140 years after inventing the first automobile, Mercedes-Benz is reinventing what a car can be, of support from Atlassian. With the introduction of MB.OS, the company delivers software-defined vehicles (SDVs): intelligent, constantly evolving driving experiences that feel like a natural extension of customers’ digital lives.

To regularly deliver new features over the air and quickly respond to customer feedback, Mercedes-Benz software teams had to change how they collaborate.

Since centralizing on Atlassian, Mercedes-Benz has:

  • Connected 50,000+ colleagues across 260+ locations to collaborate faster
  • Accelerated software delivery by 10x
  • Shifted 80% of platform team capacity from maintenance to service and innovation
  • Equipped product managers, test engineers, and frontline staff with Rovo AI Agents to deliver higher-quality work faster

VP of IT for R&D and Procurement Matthias Schneider says, "It's all about innovation and product development time. We have to get significantly faster, and the Atlassian platform is a big help for us."

Complexity and competition expedite the need for evolution

Teams across Mercedes-Benz adopted Jira and Confluence for product and knowledge management. However, as the number of users grew, complexities arose, leading to the need for standardized governance.

To standardize and speed up processes, Mercedes-Benz teams decided to invest more in the Atlassian cloud and leverage more capabilities within the platform.

Consolidating and upgrading to a trusted, enterprise-ready platform

Leadership raised questions about whether Atlassian could handle scale. After due diligence, security, and compliance experts approved, it was determined that Atlassian could support their needs efficiently.

Within two years, they consolidated thousands of projects and users to Atlassian Cloud Enterprise. This modern platform provides easier experiences and faster workflows.

Mercedes-Benz’s Atlassian platform includes:

  • Jira for planning and delivering work across all teams
  • Confluence for documenting and sharing knowledge
  • Jira Service Management for IT and enterprise service management
  • Forge for deep customization and domain-specific applications
  • Rovo AI for quick answers and informed decision-making
  • A unified data layer (Teamwork Graph) connecting people and work

Rolling out Rovo for higher quality, speed, and savings

Gaining access to AI capabilities and workflows in Rovo has transformed defect management.

A single car line can generate thousands of defects; Rovo helps automate defect intake and triage, improving the quality of defect reports by 90% and speeding up the process by 85%.

Moving forward faster with agentic workflows

As teams apply Rovo, employees can efficiently create high-quality work item descriptions. Rovo helps unify data, automate tasks, and reduce risk, transforming team performance.

Better, faster delivery and service

Delivering better software faster is not the only focus. The organization is also standardizing service and intake processes with Jira Service Management to enhance support.

Accelerating software delivery and innovation – together

As the teams continue centralizing work on Atlassian, they are seeing encouraging results, including:

  • Faster delivery with performance improvements
  • More time to innovate due to reduced maintenance tasks
  • Better cost control and compliance
  • Enhanced collaboration across the organization

The organization plans to deepen their use of Atlassian capabilities like Compass and Teamwork Graph to manage dependencies in a competitive industry.

Magnus says, "We can only achieve our goals for speed and deliver on our software-defined vehicle promise when we have a great platform. That’s why we rely on Atlassian."

Conclusion

The Mercedes-Benz Group AG continues to thrive as a pioneering force in the automotive industry by integrating cutting-edge technology and innovative platforms like Atlassian into their operational strategies.