Writing

Writing on AI, decision-making and business

Articles drawn from my work and my research. Real cases, dated sources, and a leader's angle.

Featured

AI hallucinations: why ChatGPT invents facts, and how to protect your business

An AI can produce a perfect lie with total confidence. Why it hallucinates, two court cases that proved it, and how to protect your business.

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Deepfakes in video calls: the 25-million fraud that should alert every leader

An employee wired 25 million dollars after a video call where everyone else was a deepfake. Why your old reflexes no longer protect you, and what to change.

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How generative AI changes the SME leader's decision

Generative AI does not just equip the leader, it shifts the very way they decide. What really changes, seen from the field.

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What a private enterprise AI is, and why it changes everything

Private AI, internal AI, sovereign AI: behind the words, a real difference. What it is, why it matters, and the Samsung case that made it obvious.

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58% of leaders see AI as a matter of survival. What next?

Most leaders judge AI vital, but few have a strategy. What that gap says, and where to start when you run an SME.

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Automating a business process without breaking everything: the method

Most automation projects fail from too much ambition. Here is a four step method, tested in the field, to automate without breaking what works.

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Understand, use, judge: how I teach AI

Training people in AI is not about showing tools. Here is the three step method I use in Master's and MBA programmes to make people truly autonomous.

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Where to start with AI in an SME

Everyone says you should get going, nobody says where. Here is a concrete starting point for an SME, with no grand plan and no big budget.

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AI agents in business: what they run, and what to watch

An AI agent no longer just answers, it acts. What that really enables, and the safeguards without which a good tool becomes an incident.

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Public ChatGPT or internal AI: what a leader needs to know before choosing

Stick with a consumer ChatGPT or move to an internal AI? The real criteria to decide based on your situation, and the tipping point to spot.

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Business data and AI: what to lock down before you start

Before plugging an AI into your data, a few decisions save you serious trouble. What a leader should lock down upfront, and the case that proves it.

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The reed and the machine: what Pascal tells us about AI

Pascal called man a thinking reed. Three centuries on, his words shed a strange light on our relationship with machines that talk.

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Speed versus depth: the paradox AI forces on the leader

AI lets you go fast, but speed has a price on the depth of thought. How a leader holds both ends without choosing one against the other.

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These machines talk, but do they think?

An AI that writes better than many humans, does it think? The answer matters more than we assume, because it decides how we use it.

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Putting an AI into production without getting caught out

A demo that works does not make an AI in production. The three traps that sink a project once it meets the real world, and how to get past them.

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Why an enterprise AI must cite its sources

An AI that answers without saying where its information comes from is a hidden risk. Why the source changes everything, and what it means in practice.

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Unlearning to decide better

In the age of AI, one skill becomes rare and precious: knowing how to unlearn what you think you know. Why it is decisive, and how to keep it sharp.

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The mistake of thinking you have to be technical to manage AI

Many leaders feel illegitimate about AI because they are not technical. That is a mistake, and it makes them delegate decisions that are theirs to make.

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GDPR and generative AI: the questions to ask before you sign

Plugging an AI into personal data puts your liability on the line. Here are the concrete questions to ask a supplier before you sign.

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The real return on investment of an AI project

The ROI of an AI project is not just time saved. Here is how to calculate it honestly, hidden costs included.

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AI and customer service: saving time without losing the customer

AI can lighten a customer service team, or turn it into a wall. The difference comes down to a few simple choices. Here they are.

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Custom build or off-the-shelf: how to decide

Should you buy a ready-made product or have something built to measure? A simple grid to decide without going wrong or overpaying.

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The three tasks to give an AI first

If you had to hand three things to an AI to start, which ones? Here are those that pay off fast, with low risk.

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Delegating to the machine without delegating your responsibility

You can hand tasks to an AI. You cannot hand it responsibility for the result. Where the line runs, and why it matters.

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