Problem first, task second.
My first question is why the task is worded the way it is. That is usually where the assumption sits that nobody questions anymore — and assumptions can be moved.
I don’t solve the task as given. I solve the actual problem — with philosophy, business, and technology.
The best solution is rarely the.task you defined · software you bought · agency you’d brief
read onSituations
My work almost always starts with one of them. Take the one that’s yours.
The mirror
In almost all of these cases, someone already knows what should happen. There are analyses, a concept, a workshop — and often a tool that has already been bought. What’s missing isn’t knowledge. It’s the decision. And then someone who sees it through.
Maybe the task you’ve defined isn’t your actual problem.
You can execute it perfectly and still end up exactly where you started. That’s expensive, and it’s rarely anyone’s fault: teams get very good at delivering precisely what was ordered.
The elephant in the room is rarely invisible. It’s just uncomfortable. Often my job is to say the sentence everyone is already thinking — and once it’s on the table, the decision gets surprisingly easy.
How I work
At the core I do one thing: I translate a situation into the perspectives of the people in the room, until everyone sees the same thing and the next step is obvious.
“Where do I see that in Salesforce?”
The CMO was right about what he was doing. He was just using the wrong language. To a CFO, marketing is an investment before it is a funnel. We didn’t change his measures, we changed their translation. After that, the budget stopped being an argument.
My first question is why the task is worded the way it is. That is usually where the assumption sits that nobody questions anymore — and assumptions can be moved.
Tools go out of date, models don’t. I’d rather explain margin with an ice cream stand by a lake — at what point does a second person behind the counter pay off? — than with a dashboard. Think that through once and an AI budget stops being intimidating.
The interesting problems rarely sit inside one discipline. They sit between business, technology, law, and data. I’m fluent enough in all four to translate — and to notice when two sides are nodding politely and meaning different things.
If I can’t explain something in one sentence, I haven’t understood it. You won’t get a slide from me that says “AI enablement”. You’ll get a sentence your CFO would sign.
Five doors
All five end in the same place: a decision that wasn’t possible before. They differ only in how close I get and for how long.
The spark
A keynote or a moderated session, for when an event should move something and not just inform.
The sounding board
You have a decision in front of you and want to turn it over with someone from the outside — occasional, senior, no report at the end.
The step up
Executive sparring or rising leaders: someone on your team is facing the next step and should take it themselves.
The groundwork
You want your team to understand AI and digital business, not just operate it — models, not tool training.
The ownership
A role is open and needs someone in it, just not forever: CAIO · Growth · Data · Evangelist.
Track record
25+ years. Miele, BMW, Google, SAP, Mercedes-Benz, Payback, MediaMarktSaturn, Deutsche Telekom.
No logo wall, no case-study library. Two numbers I can account for:
*The real number was higher. I reduced it so people would believe it.
Rate
It’s here so neither of us wastes time.
Whether that becomes a single day, a series, or a longer mandate is what the first call is for.
What does a week cost in which nothing gets decided?
For peers
Just write. I answer my own mail, and you won’t get a pitch back: pascalfantou.com@fantou.net
The call
We look at your situation. If I’m the right person for it, you’ll tell me. If I’m not, I’ll tell you.
Pascal Fantou, Munich. 25+ years across marketing, technology, and leadership — from startups to enterprise. More about me