As product expectations increased and system complexity grew, AutoScout24 Group faced mounting pressure to deliver faster innovation without compromising reliability. This is closely tied to the company’s goal of continuously improving how buyers search, evaluate, and purchase vehicles, and how dealers successfully market and sell their inventory. With large-scale migrations, legacy systems, and rising engineering demand, incremental improvements were no longer sufficient. The emergence of large language models presented a timely opportunity to fundamentally rethink how software is built, tested, and scaled—making OpenAI a natural partner in driving this transformation.

AutoScout24 Group implemented a dual-layer AI adoption strategy to balance broad enablement with deep technical impact. ChatGPT was rolled out across the organization, giving approximately 2,000 employees access to AI tools and establishing a strong baseline of AI literacy across functions.

In parallel, the company embedded Codex into its engineering, data, and product workflows, equipping around 1,000 builder employees with a coding agent integrated directly into their daily processes. Codex was selected following a three-month evaluation across teams, where it demonstrated strong performance in usability, workflow compatibility, and measurable improvements in productivity and code quality.

To ensure adoption at scale, AutoScout24 Group established a cross-functional AI Champions network. This group created a feedback loop between central leadership and individual teams, helping translate AI capabilities into practical, real-world use cases. The approach encouraged organic adoption and ensured AI was embedded into existing workflows rather than treated as a standalone tool.