In this interview, Simon Janssen, CTO of Happy Nurse, takes a refreshingly direct stance on why AI initiatives often fail to scale: the biggest barrier is not technology, but ourselves. Drawing from real operational experience, he shows how AI can deliver concrete impact when applied end‑to‑end—illustrated by Happy Nurse’s AI‑driven recruitment process, where AI already handles 80% of candidate intake at scale. Janssen argues that the most underestimated capability is not technical expertise, but the willingness to test boldly, redesign core processes horizontally, and move beyond isolated use cases. For him, meaningful AI transformation requires courage from leadership, decisive technology choices, and the readiness to challenge the status quo. His directive to senior leaders is uncompromising: be bold, think end‑to‑end, and just do it.
Simon Janssen is a technology executive and Chief Technology Officer at Happy Nurse, where he leads the development and application of AI to fundamentally redesign recruitment and workforce processes in healthcare. With a strong focus on scalable platforms, automation, and innovation, Simon combines technical leadership with a pragmatic, execution‑driven mindset. He is known for advocating bold decision‑making, end‑to‑end digital transformation, and the courageous use of AI to deliver measurable business and operational outcomes.