How is a keynote booked, and how fast do you answer?

Through Athenas, who manage my calendar and fees: kontakt@athenas.de, or the form on the booking page. They answer inside the working day and scope the brief with me directly once the basics are settled.

Will you pitch your company from the stage?

No. There is no Aiomics slide, no product demo and no sales follow-up. I disclose the company as an interest at the start — it is the reason the examples are current — and that is where it ends. This matters for pharma compliance teams, so it is written down rather than left to be asked.

What languages, and are they equivalent?

German, English and French. All formats run in all three. German and English are equally strong; French works well for keynotes and prepared sessions, and for a workshop with heavy open discussion I would suggest German or English if the room can carry it.

What do you need from us technically?

A lapel or headset microphone, HDMI or USB-C to the stage system, 16:9 at 1920×1080, and my own laptop on stage. Confidence monitor appreciated, not required. I bring a clicker and adapters. For broadcast, a wired connection and a rehearsal slot the day before.

For pharma and medtech

Your teams have AI. Your customers have doctors.

I have spoken for most of the large European pharma and medtech organisations, and I build software that sits in the hospitals your customers work in. That combination is why medical affairs teams book me for physician audiences.

Enquire about a date →

What pharma teams keep running into

Enablement that stops at the tool

Global mandates a platform, the affiliate runs a training, usage spikes and then flattens. Nothing in the enablement told anyone which of their actual tasks to hand over and which to keep.

A physician audience that can smell a deck

Speak to clinicians about AI without clinical standing and you lose the room in ninety seconds. This is the single most common reason a well-funded HCP event underperforms.

Medical, legal and regulatory as an afterthought

The interesting AI use cases in medical affairs live exactly where MLR review, the EU AI Act and GDPR intersect. Sessions that ignore that produce enthusiasm nobody can act on.

Talks for this audience

The AI is installed. Almost nobody uses it.

Why adoption stalls, and what the organisations where it worked did differently.

EN · DE · FR

The gap between AI that is bought and AI that is used, taken apart with real numbers from real deployments — including the ones that failed. Built for an audience that has already spent money and wants to know why the return has not arrived.

What the room leaves with

The four frictions that account for most stalled adoption, and which one is yours
Why the pilot that succeeded is often the reason the rollout failed
A test for telling genuine productivity from displaced work

When being wrong is expensive.

AI in industries that cannot move fast and break things.

EN · DE · FR

Built for regulated sectors: how to design an AI capability that a supervisor, an auditor or a court can inspect afterwards — without governance so heavy that the work goes underground. Uses GDPR and the EU AI Act as concrete cases rather than a compliance lecture.

What the room leaves with

Governance as a lane instead of a gate, with the design rules that make it one
The four production constraints that kill sandbox projects, known up front
How to tell a real regulatory blocker from an inherited assumption

The work around the model.

What people are actually for once the machine can do the middle of the task.

EN · DE · FR

The talk that started all of this, and the one most often requested for mixed audiences. Framing, context, judgement, integration — the four things that stay human, made concrete enough to practise. Written for a general professional audience without becoming a general talk.

What the room leaves with

The four-part description of the human half of the work, with examples from your sector
Why prompt engineering is the easy, boring part
One habit to start on Monday, and one to stop