VfL Wolfsburg turns ChatGPT into a club-wide capability
By focusing on people, not pilots, the Bundesliga club is scaling efficiency, creativity, and knowledge—without losing its football identity.
Results
50+
Custom GPTs in active daily use
Results
1M+
Annual cost savings through reduced reliance on external agencies
At VfL Wolfsburg, football is built on discipline, continuity, and trust. For nearly three decades, the club has been a constant presence in the Bundesliga—backed by strong men’s and women’s teams, a future-oriented academy, and a fast-evolving digital and commercial ecosystem.
But modern football is no longer defined by performance on the pitch alone. Expectations from fans, partners, and internal stakeholders continue to rise—while budgets and headcount cannot scale indefinitely.
This tension between growing expectations and limited scalability created a clear need for new ways of working. The question was how to apply it in a way that felt credible in one of the world’s most heritage-driven sectors.
“In football, tradition is an important value. Change isn’t always easy. But innovation is part of our DNA—and we couldn’t just keep adding people while the workload kept growing.”
Across the club, the same challenges kept appearing:
- Repetitive drafting, translation, reporting, and documentation slowed teams down
- Critical knowledge sat with a few specialists, creating bottlenecks
- External agencies handled routine work, but at high cost and without building internal capability
These challenges highlighted a core tension: the club needed to increase impact and consistency—without increasing headcount.
After evaluating multiple tools and approaches, VfL Wolfsburg chose ChatGPT Enterprise for a combination of reasons.
Over the previous year, the club had already built meaningful experience with Generative AI, working with ChatGPT Team and Business licenses. Trained teams, established use cases, and visible day-to-day impact demonstrated clear value, but scaling was limited by access and governance.
“Once we saw trained teams, real use cases, and measurable impact, the question wasn’t whether AI works,” says Lebugle. “The question was how to scale it properly and responsibly across the entire organization.”
- Strong output quality for day-to-day knowledge work
- Enterprise-grade security and governance, including EU server options; OpenAI does not use customer data to train models
- Fast time-to-value without heavy IT build-out
- Intuitive usability that works across non-technical roles
- 50+ custom GPTs in active daily use across operations, communications, marketing, HR, and administration
- Six-figure annual cost savings through reduced reliance on external agencies for repeatable work
- Faster drafting, translation, and standardization across core workflows
- Broad-based adoption, from non-technical roles to former players, driving self-propelled usage.
VfL Wolfsburg began focusing on Generative AI in 2023 with a clear mindset: this would not be a niche innovation project or a future experiment. It would be a capability built across the club, with people at the center.
Adoption accelerated when Wolfsburg stopped talking about abstract AI tools and started building custom GPTs around real workflows.
A few standout examples include Turf Disease GPT, Football School Invoicing GPT, Hannah (HR GPT Builder), and ESG Check GPT.
With proven use cases, trained teams, and growing internal momentum, VfL Wolfsburg is now moving from targeted adoption to organization-wide capability.
Beyond internal productivity, VfL Wolfsburg also sees long-term potential in selected fan- and partner-facing experiences—such as personalization, internationalization, and interactive content formats—once governance, operating models, and accountability structures are fully mature.
“AI is not a future topic in football anymore—it’s something leaders need to take seriously today,” adds Meeske.
