ROLE
AI adoption so it reaches the P&L expert
LANGUAGES
I help scale-ups turn AI from scattered experiments into a governed system that actually moves revenue. I’ve done both sides: co-founded and exited consumer marketplaces (Kapaza → Schibsted; VintoVino, €2M ARR), grew GIMBER 168% MRR in six months and cut VTM GO churn from 25% to 8%, and now run DevGap (30+ FTE) plus a portfolio of my own ventures. I also led Deloitte’s Fast50 founder coaching programme for Belgium’s top scale-up cohort.
Where I’m most useful: diagnosing where growth actually leaks (attribution, funnel, unit economics) before anyone builds; designing the division of labour between people and AI so cost drops without quality or control dropping with it; and getting AI adoption past the compliance wall — GDPR, EU AI Act, DORA — which is where most scale-ups stall the moment they sell to enterprise or regulated buyers.
Typical asks I take: “our AI pilots aren’t converting to P&L,” “we can’t prove attribution,” “an enterprise customer just sent us a 40-page AI risk questionnaire,” “we need to scale delivery without doubling headcount”
