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.

An intelligent mix of practical examples and scientifically grounded knowledge — refreshing.

SVP · Roche Diagnostics Germany

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

How healthy do we want to be? Medicine with AI.

Where medicine is heading with AI, and what that asks of physicians, patients and companies.

EN · DE

Patients arrive with the AI’s diagnosis. Physicians ask what is left of their role when the model knows more. And companies in the health market feel the relationship between medicine, technology and people shifting. As a physician and the author of the book of the same name, I describe where medicine is heading with AI: diagnostics, prevention, documentation, time for patients. And I answer the question every medical audience asks: from the family doctor to Dr. AI, how bad is it? The answer is optimistic, concrete and free of faith in technology.

What the room leaves with

Which tasks in medicine AI takes over in the next five years and which stay human
How physicians handle patients who arrive informed by AI
What changes for pharma, medtech and insurers when patients use AI

More about this talk →

Written on this

Why Interdisciplinary Teams Keep Arriving at Obvious Answers

A 1985 experiment showed groups discuss what they share, not what they know — and quietly erase the diversity they were assembled to combine.

Read the essay →

Cycle meetings, kickoffs, HCP events.

Delivered in German, English or French, with the compliance constraints understood before the brief comes back.

Enquire about a date → Or write directly: kontakt@athenas.de