For insurance, banking, energy, industry and the public sector

Move fast and break things is not available to you.

Every reference case in the AI conversation comes from an industry that can ship a bad answer and apologise later. Yours cannot. I work in the one place with a stricter standard than yours, and the method travels.

The pattern across regulated sectors

Governance built as a gate, not a lane

When the only answer legal can give is no, the work moves into private accounts and unapproved tools. The exposure goes up, not down, and now it is invisible.

Pilots that cannot cross the line into production

Everything works in the sandbox. What kills it is audit trails, retention rules, explainability to a supervisor, and who signs. Those are design constraints, not paperwork.

The wrong people being trained

Analysts get tool training. The people whose judgement is now the bottleneck — team leads, reviewers, underwriters, engineers who sign off — get a webinar.

Talks for this audience
01

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
02

Leading with AI: delegate less, stay closer to the work.

What changes for senior people when the cost of doing it yourself collapses.

EN · DE · FR

Senior professionals were taught to hire well and get out of the way. AI lets a leader drop two levels of abstraction back into the work without paying the time cost that made that impossible. What that does to how a team is run, and where it goes wrong.

What the room leaves with
  • Which decisions to pull back and which to keep delegated
  • How to use AI on your own thinking — the reflective use almost nobody tries
  • Why staying close is not micromanagement, and how to tell the difference
03

Rewriting the rules of the game.

Why the better answer is rarely a better version of the old one.

EN · DE · FR

The Fosbury Flop was not a better high jump; it was a different jump. When conditions change this fast, the advantage sits with organisations that redesign how the work is done rather than doing the old thing harder. An argument for that kind of noticing, and the practice that makes it possible.

What the room leaves with
  • How to spot where your industry is still doing the old jump
  • The difference between an efficiency gain and a redesign, and why only one compounds
  • A method for finding the redesign before a competitor does
Sven really brings fresh solutions to old problems. You can see he is pushing AI to its edges for very pragmatic problem-solving.
Fund managerPrivate equity
Spoken for
Written on this

Founder Mode Has a New Floor

The advice founders are given — hire great people, get out of the way — is the advice that nearly broke Airbnb. What changes when AI removes the excuse for not staying close to the work.

Read the essay →

Next step

Leadership offsites, risk committees, annual conferences.

If your compliance function has ever been called the department of no, this is the talk to put in front of both sides of that argument at once.