Why I Build This Way

Most AI consultants either advise (slides, roadmaps, then leave) or sell generic tools (one-size-fits-all SaaS). I do neither.

I embed in your operations, build custom systems using your data and your tools, then transfer the capability so your team owns the outcome. No decks that sit in a drawer—working software.

This isn’t about being anti-consulting. It’s about what actually moves the needle for companies at your stage. When you’re running a €10-150M operation with real bottlenecks, you don’t need another roadmap. You need someone who can build the infrastructure, train your team to maintain it, and leave you self-sufficient.

Why Embedded Beats Advisory

I’ve sat on both sides. As a founder, I’ve hired consultants who delivered beautiful presentations and left us to figure out implementation. The decks gathered dust.

What worked was having someone who could actually build alongside the team—someone who understood both the strategic context and the technical reality. That’s the gap I fill now.

Embedded means:

• 2-3 days per week, on-site or remote
• Working directly in your systems, your codebase, your data
• Building production-ready infrastructure, not prototypes
• Training your people to maintain and extend what we build

Why Custom Beats SaaS (For This Work)

Generic tools solve generic problems. But the operational bottlenecks that actually constrain mid-market companies are rarely generic.

Your supplier data lives in an ERP that hasn’t been updated since 2015. Your sales process depends on three spreadsheets that only one person understands. Your audit workflows are buried in email threads.

Custom AI systems built on your existing stack solve these problems. They integrate with what you have, not what a vendor wishes you had.

The Credibility Behind This

I’m not a consultant who discovered AI last year. I’ve been building production systems for over a decade:

Demander Justice — Co-founded this LegalTech that simplifies access to justice. Scaled from inception to €3M+ annual revenue while navigating high-stakes legal challenges. Learned what it means to build systems that must work reliably at scale.

Groupe Concorde — Led the restructuring of a real estate group during crisis. Dealt with the operational reality of systems failing under pressure, not theoretical frameworks.

Together.do — Designed and deployed a machine learning SaaS before the current AI wave. Understood early the gap between appealing consumer tools and what businesses actually need.

This background shapes everything I build now: systems that work in production, not just in demos.

Who This Is For

You’re likely a fit if:

• Your company does €10-150M in revenue
• You have operational bottlenecks that depend on specific people or manual processes
• You’ve tried AI pilots that never reached production
• You have a team capable of maintaining systems (or want to build that capability)
• You’re in manufacturing, professional services, or similar industries

You’re likely not a fit if:

• You want a roadmap without execution
• You need someone to attend meetings, not build
• You’re looking for the cheapest option

Let’s Talk

If you’re running a €10-150M company with operational bottlenecks that software could solve, let’s have a conversation. I’ll tell you honestly whether I can help.

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