OpenAI and Partners Discuss Enterprise AI Future in Frankfurt

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Frankfurt statworx
  • Frankfurt is quickly becoming recognized as a major center for artificial intelligence in Europe.
  • During the recent AI Week 2025, a dedicated leadership summit was co-hosted by OpenAI, statworx, and the AI Hub Frankfurt.
  • This gathering united key executives, decision-makers, and innovators to analyze the current state of AI adoption in the corporate sector.
  • Participants explored practical strategies for converting AI’s theoretical potential into measurable business outcomes.

Advancing Enterprise Automation

OpenAI’s Solutions Architect, Maximilian Hudlberger, delivered a central keynote address titled “AI at the Frontier – Shaping the Future of the Enterprise.” His presentation challenged several widespread misunderstandings regarding corporate AI deployment. Hudlberger detailed how various organizations are already achieving tangible business value using advanced OpenAI solutions. Specifically, he highlighted how recent platform upgrades have increased AI’s accessibility and its capability to support complex enterprise workflows.

The event featured a formal introduction to the new Agent Builder tool. This feature facilitates the creation of multi-agent applications, allowing multiple AI entities to collaborate on sophisticated, long-term tasks. Organizations can now design intelligent systems that are finely tuned to meet their specific operational demands. These systems are capable of advanced reasoning, inter-agent collaboration, and automating real-world tasks across diverse business functions. A live, multi-turn demonstration later captivated the audience by showcasing a natural interaction between a user and an AI agent. The demo included dynamic interruptions, custom safety guardrails, spontaneous language switching, and changes in conversational tone.

Real-World Adoption: The Condor Case Study

A subsequent session provided an inspiring, data-driven look at enterprise integration via a case study involving Condor Airlines. Alexander Sascha Mai, Director of eCommerce at Condor, and Fabian Müller, COO of statworx, presented their joint journey. Condor began its AI initiative by closely engaging with internal teams to pinpoint genuine daily challenges where AI assistance could offer substantial impact. This ensured that the focus remained on practical efficiency rather than simple technological experimentation.

The airline partnered with statworx, an official OpenAI Services Partner, and utilized OpenAI as the core tool provider. They collaboratively established a structured, scalable enablement framework encompassing technical setup, comprehensive communication, and employee education. Within a few short months, this focused approach transitioned Condor from initial contact to having three successful proofs of concept. These early applications demonstrated value across customer service operations, content marketing efforts, and sales processes. Company leaders emphasized that true AI adoption is contingent on employees understanding how the technology genuinely supports their day-to-day work.

Cultivating AI Strategy and Readiness

The speakers collectively stressed that adoption hinges on widespread awareness, detailed enablement, and practical, hands-on experience throughout the company. The goal was to use AI to make daily work easier and more efficient for their personnel, avoiding experimentation purely for its own sake. The Frankfurt event therefore underlined the critical role of corporate collaboration and strategic experimentation in accelerating Europe’s technological evolution. As an official partner, statworx provides end-to-end support for the ChatGPT Enterprise rollout, covering strategic consulting, team training, and seamless integration. This partnership framework is designed to help organizations responsibly maximize their AI potential at scale.

Technology Note

The Agent Builder, introduced by OpenAI at the event, is part of a larger trend toward making complex AI workflows accessible to a wider audience. The platform utilizes a visual, no-code drag-and-drop interface, allowing users to define agent behaviors, connect logic nodes, and deploy agents without requiring deep coding expertise. This visual approach significantly lowers the barrier for companies seeking to implement sophisticated multi-agent systems for process automation and complex task management.


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