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.

How much preparation do you actually do?

One call with you, one conversation with somebody who will be in the audience, and your written material read in advance. Slides land a week before the event. That is the standard, not an upgrade — it is why the talk sounds like it was made for your organisation.

Keynotes·45–60 minutes·EN · DE · FR

Six talks. One question: what makes AI work here?

Every talk is built for the room in front of it. Below are the six I am most often booked for, and what the room leaves holding.

Enquire about a date →

Dr. Sven Jungmann on a conference stage — Conference stage · 2025

The talks

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

What AI actually changes in a hospital.

From someone who is deploying it in one this quarter.

EN · DE

Documentation, records, handovers, coding — where clinical AI genuinely gives time back, where it creates a new class of error, and what the wards that made it work insisted on. For clinical leadership, medical councils and hospital IT.

What the room leaves with

The specific failure mode of AI that writes into a patient record
What clinicians need before they will sign their name under machine output
Which three questions to ask a vendor that they will not enjoy

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

Two senior roles, one AI, and me.

What changed when I took over two experts’ work with AI, and what it means for how you lead.

EN · DE · FR

In my own company I let two people go whose work I could not have done myself before, a lawyer in the COO role and a UI designer with healthcare experience. I did not refill the roles. I took over their jobs, with AI: sixteen hours a week at first, a normal week now, and more than €300,000 a year in salaries. The talk tells that story without pride, including the mistakes of the first months, and draws out what holds for any leader: which work AI lets you take back, which stays with the team, and why delegating is getting more expensive while doing it yourself is getting cheaper.

What the room leaves with

One criterion for deciding which tasks to take over with AI and which to leave in the team
Why productivity drops in the first weeks and how to get through that phase
What changes for leaders when two layers between them and the work disappear

More about this talk →

AI agents: when software starts to act.

What agents do today, where they fail, and how to set their limits.

EN · DE · FR

2026 is the year AI stops answering and starts doing: research, documents, coordination, whole process steps. My company builds systems in which several agents check each other’s results, for hospitals where an unnoticed error is expensive. The talk shows from that work what agents reliably do today, where they fail, and which controls an organisation puts in place before it lets agents near customer data, contracts or payments. With a straight answer to the question every room asks: how much does the AI still make up, and what do you do about it?

What the room leaves with

A map: which tasks agents take over today, which in twelve months, which not for a long time
The three controls without which no agent belongs near real data
How to settle responsibility when the software decides

More about this talk →

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 →

The preparation is the product.

A keynote that could be given anywhere is worth what a keynote given anywhere is worth. So before I write anything, we do three things.

One scoping call with you. Thirty minutes. What has already been tried, what stalled, what nobody says out loud, and what you need the room to do differently on Monday.

One conversation with somebody who will be in the audience. Not the sponsor — someone who will sit in row eleven. This is the step other speakers skip and it is the one that makes the examples land.

Your material, read. Strategy deck, intranet post, the last consultant report, the survey nobody liked. I arrive knowing the vocabulary you already use, so the talk lands inside your language instead of next to it.

Slides reach you a week before the event, with the abstract, title and a photo your comms team can use. Standard lead time is two weeks; four for a brief that needs new material.

Four steps, and you know what you are getting before you commit.

How a booking works

You send the brief

Date, city, audience, language, and roughly what you need to shift. Incomplete is fine — send what you have.

Answer inside the working day

Scoping call

Thirty minutes with me, not a sales call. What has been tried, what stalled, and what nobody says out loud.

Within a week of enquiry

I read your material and talk to your audience

Your strategy deck and one conversation with somebody who will actually be sitting in the room.

Two weeks before

Slides, abstract and photo reach you

A week ahead, so your comms team can promote it and nobody is waiting on me.

One week before

Professional, engaging and highly knowledgeable, he delivered a keynote that brought a sharp and highly relevant perspective on the challenges of fragmented diagnostics, data quality and how integrated diagnostics fit into the future of clinical decision-making.

Klavdija Slapar · MESI Medical

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

SVP Roche Diagnostics Germany

It has become clear to me that we all need to hear this to understand how we need to work differently going forward.

HR leader Swedish medtech multinational

Sven really brings fresh solutions to old problems. You can see he is pushing AI to its edges for very pragmatic problem-solving.

Fund manager Private equity

Booked, and asked back, by some of Europe’s largest organisations.

I have been speaking on innovation, healthcare and AI for more than a decade. The roster is alphabetical, not chronological — it is a roster, not a calendar.

AbbVie · Arvato · Avie · Bayer · Bertelsmann · Biogen · coliquio · Daiichi-Sankyo · Elsevier · GSK · Ipsen · Johnson & Johnson · Julius Bär · KV Niedersachsen · Mavie · Medice · Medtronic · Novartis · Øredev · Pfizer · PVS Privatärztliche Verrechnungsstelle · Roche · samedi · Siemens Healthineers · Start2 Group · Wellster Healthtech Group

Which of the six fits your room?

Send the date, the audience and what you need to shift. If none of the six is right, describe the brief and I will build to it.

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