AI Implementation at the Customer

From Waterfall to Swarm: Why AI Projects Work Differently

With Thomas Schulz, founder of beeq

AI projects follow different rules than classic IT projects: requirements change during implementation, results are not fully predictable, and successful solutions emerge through fast testing, learning, and adapting.

In this 90-minute session, startups learn how AI implementation and scaling projects actually unfold in companies, from selecting a suitable use case and running pilot projects and data questions to integration, governance, and company-wide scaling. Based on practical experience, we discuss typical pitfalls, the differing expectations of startups and corporates, and concrete tips for turning a promising AI pilot into a successful, long-term customer project.

Followed by an open Q&A session.