Operator. Two seats. One question.
I work on that question from two seats: digitalization in automotive, and acquiring and automating service businesses into small efficient units.
The benchmark
Today greenfield is AI-native. That's why I'm exploring what a future company looks like. The paths diverge sharply: new companies hire AI-native and have to earn trust; scaled-out companies have the trust and must transform people who weren't hired for it.
Both ends are part of the same problem. If you'd rather work the question with me than buy someone else's answer, this is for you.
Two seats
The combination is the position: scaled-out system on one side, small high-agility cells on the other. Anyone who only knows one side builds a picture that breaks predictably everywhere else.
Day job
A scaled-out system — politics, legacy, people who weren't hired for AI-native work. The lesson banked here is what survives "transformation" when no one is clapping anymore, and what falls apart the moment the deck is closed.
Side track
Consolidating them into small efficient units, on my own capital. The same operator loop at the small-cell, high-agility end of the spectrum, with own accountability. The unit is also a sandbox for the technology layer.
Between the two
Anyone observing both ends can set realistic expectations, which is what changes the conversation when someone is deciding whether to follow the AI promise in a pitch deck.
Three pillars
The ground-truth layer. Applies whether you're in manufacturing or service. In service the transformation pressure is direct. In manufacturing the service-orchestration layer is the transformative element, and the only USP beyond location-driven advantages. The ideal is real-time: demand and answer delivered by process. Where everyone can offer and everyone is AI-enabled, running this loop fastest sets the price; the rest compete on price by default. Marketing leads business model development, not a campaign brief.
Friction is under-priced. Systems either compound or create friction; there is no neutral. AI on top of broken process is a Pyrrhic victory; the math compounds against you. Doing more risks more friction. Consolidation is the answer: fewer, sharper systems beat more, fragmented.
Good people are a decent investment against ever-demanding change and uncontrollable cost of change due to legacy. Team is multiplier or divisor; no neutral. They only stay if the system is built to match.
How I work
Process- and data-driven, structured. Goes where the fun and the challenge are. What doesn't challenge me, I don't do.
Contact
Thirty minutes, no agenda beyond sharpening each other's thinking. Not consulting, not coaching, not sales.
On outreach: typically only on the search for solutions, not on new problems to solve. Most outreach doesn't make sense at all. If you're convinced you have something to prove, it's one pitch. Otherwise: friction. Not personal.