Speaking & conversations
I speak regularly about AI, technology and their impact on organisations and work. Usually from the combination of research and what we run into in practice ourselves.
AI and the future of work
What actually changes when AI starts taking over tasks?
From AI pilot to production
Why technology often turns out to be the easy part.
Technology leadership
Changing technology usually means changing the organisation.
“The room filled up so fast that people stood outside.”Recruitment Tech Awards 2025
I build it myself.
At HappyNurse I build Aisha, an AI that now runs 80% of our recruitment process. That did not happen by itself. On stage I talk honestly about what worked, what did not, and what that taught me about AI transformations in general.
Book via LinkedIn
“An AI platform that automates 80% of the recruitment process, and is rated 9+ by candidates.”Werf&, report AI & Talent 2026
“The room filled up so fast that people stood outside.”Recruitment Tech Awards 2025
How Aisha took over 80% of recruitment
In 2024 we asked a simple question at HappyNurse: can we largely automate the recruitment process for healthcare professionals? Not with a chatbot, but for real. From first contact to a scheduled meeting. Aisha is what came out of that. She now handles 80% of that process on her own.
But I do not use Aisha as a success story. I use her as an example of something every organisation faces: how do you deploy AI on something that really matters? What do you need to get right before you let it run? And when do you nearly get it wrong? Those lessons do not just apply to recruitment.
On stage
Werf& AI & Talent 2026
Keynote “How Aisha took over 80% of our recruitment”. Not a success story, but an honest look at transforming in small horizontal slices, build-scale-expand, and why the first iteration is never the best. Aisha now runs around 80% of the process and is rated 9+ by candidates.
CIONET: The Challenges of Realizing Sovereignty
Panel with VandeBron and SURF on cloud sovereignty and European data sovereignty for Dutch organisations.
Recruitment Tech Awards 2025
How do you build AI that actually works in an operational process? The room filled up so fast people stood outside, which says enough about where the demand is.
For everyone who takes it seriously
Boards and management teams
People who need to make decisions about AI but feel the world around them moving faster than their understanding. I give them something concrete to work with.
HR leaders
HR professionals who sense that AI is touching their field and do not quite know what to do with that yet. That is an honest starting point.
CIOs and CTOs
Technology leaders who want to know what it really looks like when you build this. Without the sales pitch.
Interested?