Overview
Steve is based in Ghent and operates in the Flanders tech ecosystem. He co-founded Bizzy with a focus on applying AI to go-to-market strategy and sales workflows.
At Bizzy, Steve leads GTM strategy, bringing together AI tooling with practical sales execution. His expertise spans AI, sales operations, and growth strategy for B2B companies.
Career history
Education
Master's degree, Applied Economics - Corporate Finance2016 - 2020Ghent University
Master's degree, Financial Management (MFM)2020 - 2021Vlerick Business School
LinkedIn Voice
Posting style: Tactical, builder-focused, action-oriented. Shows specific AI use cases from his own company. Very relatable "build in public" approach. High posting frequency, 2-3 posts per week. Key themes: AI in sales and business operations, organizational transformation with AI, Bizzy growth (partner channel, CS automation), builder mindset, future of work Avg engagement: 71 likes, 6 comments Notable post: "We fed Claude our entire sales playbook", 137 likes and 22 comments.
In the news
- We’re hiring a Customer Success Manager for our team in Ghent. This isn’t a support role. We want someone commercial at heart, who owns a book of business, leads renewal and save calls themselves, and spots where a customer can get more out of Bizzy. What makes it different: our CS team works AI native. Claude is connected to HubSpot, Mixpanel, Hyperline and Modjo, and it prepares business reviews, renewal calls and handovers. Your time goes to the conversation with the customer, not the digging. Fluent Dutch and English,
- Iedereen praat over AI in sales. Maar in het Wintercircus vertellen we wat het bij ons concreet doet. Op 28 oktober zit ik aan de problem table Sales & Marketing op de KMO Tech Night in het Wintercircus, samen met Teamleader, Donna en Air.eu. Drie dingen die ik meebreng: Hoe vinden wij nieuwe klanten? Een collega liet AI 566 verloren deals doorlichten. Het selecteerde de 50 meest kansrijke en schreef voor elk een mail. Binnen de maand: twee deals gewonnen. Welke signalen mis ik? Elke ochtend krijgen onze verkopers taken die AI
- For years, building a lead list meant ticking boxes. Country. Sector. Company size. Job title. Export. Send. The filters were basic, so the lists were broad. And because the lists were broad, the playbook was volume: more contacts, more sequences, more dials. If 1% replied, you just needed a bigger list. That math is breaking. Inboxes filter harder, buyers ignore anything that looks generic, and blasting thousands of mails to get a handful of replies burns your domain and your brand. At the same time, AI changed what a filter can be.
- 𝐁𝐞𝐭𝐭𝐞𝐫 𝐥𝐢𝐬𝐭𝐬. 𝐅𝐞𝐰𝐞𝐫 𝐜𝐫𝐞𝐝𝐢𝐭𝐬. Two customers came to me this week with the same problem: a list that "cost" too much and still wasn't right. Here's what happened. 𝐂𝐚𝐬𝐞 1: 𝐞𝐯𝐞𝐫𝐲 𝐜𝐥𝐮𝐛 𝐢𝐧 𝐨𝐧𝐞 𝐧𝐢𝐜𝐡𝐞 𝐬𝐩𝐨𝐫𝐭, 𝐰𝐢𝐭𝐡 𝐚𝐧 𝐞𝐦𝐚𝐢𝐥 𝐚𝐝𝐝𝐫𝐞𝐬𝐬. Built the classic way: a broad search of ~4,700 companies, then AI research on all of it. ~5,100 credits later: a 5% hit rate and 235 clubs, ticked one by one. Rebuilt with Claude connected to Bizzy through our MCP: → Explore for free first.
- It seems like the job market needs a completely different skill set vs 9–12 months ago. Claude, GPTs, APIs, integrations, MCPs, and the flexibility to pick up skills that weren't a "real" priority a year ago in non-engineering roles now determine how fast you ramp and how far you get in the roles you take on. Two people, same role, same experience on paper. One is productive in two weeks, the other in three months. The difference isn't seniority anymore. It's whether they hit a problem in their own work and build a fix, or wait
- Deal size is a retention strategy, so is multi-year commitment. Our average new business deal grew 21% over the last two years. Not because we got greedy, but because we kept looking at who was still there twelve months later. The pattern is boring and consistent. Renewals under €5K churn almost 4x more often than deals above €10K, with the €5–10K band in between at roughly 2x. Same product, more personalised service at the top end, and probably more commitment going in. The difference isn't the product. A €2K deal is usually one
- From 2% to 12%. Same team, same script, same dial motion. 6x results. I sat down with an outbound team in the Netherlands (customer) last week. A year ago, 100 cold calls got them about 2 meetings with Bizzy. Today it's 12, with weeks hitting 18. Nothing changed about how they call. Everything changed about who ends up on the call list. That list isn't built by hand anymore. The Bizzy Agent runs in the background every day and delivers companies that are actually moving: hiring, expanding, sitting on the website, with the right
- A customer churned this quarter, and the reason in our log is that Claude gives them the same results. Not the only one thinking it either. Model quality is not where we win and never will be. We are not going to out-model Anthropic or OpenAI. What we did get wrong is that we made people choose. Back then it was either work in Bizzy or work in Claude. We didn't have our MCP yet, so for that customer the choice was real, and they made it. Now our data sits inside Claude. It's in private beta and the early feedback is good, Jorik Van
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