Duna hosts its first AI Summit in Amsterdam
Hande Kahraman
On this page
Compliance leaders from ABN AMRO, Adyen, NN Group, KPMG, Worldline and ElevenLabs on what it takes to move AI from a pilot into everyday compliance work
Amsterdam, 28 October 2026
Duna brought together a curated group of heads of compliance, MLROs and financial crime leads from banks, payment institutions and regulated fintechs across Europe for a morning on AI in compliance. The event was invitation only and took place at Atelier de Vijzel in Amsterdam. The brief to every speaker was the same: no product pitches and no predictions, only what has been put into production and what was learned from it.
Michael Binning, Growth, Duna, who hosted the morning, set the terms in his welcome.
"Today is about real practical examples of AI in compliance. So what's working, what isn't, and what can you take back to your own companies and teams." - Michael Binning, Growth, Duna
From the pilot to everyday banking
Yorick Naeff, Chief Innovation Officer at ABN AMRO, opened the program in conversation with Duna founder Duco van Lanschot. The subject was the distance between an experiment and a system that colleagues and clients rely on, and what a bank has to do to close it. In his own write-up afterwards, he put it in one line.
"An AI pilot can impress a room. Getting it into everyday banking is where the real work begins." - Yorick Naeff, Chief Innovation Officer, ABN AMRO, on LinkedIn
His answer, as he described it, is to bring technology, people and governance together from the start: choose a real problem, get the right people involved, and measure whether the solution makes things better.
A company built on AI
Ethan Tandowsky, Chief Financial Officer of ElevenLabs and formerly CFO of Adyen, gave the second keynote: how a company built on AI puts it to work across a finance function, followed by questions from the room. The session was programmed as the counterpoint to the first, a view from outside the regulated world on what becomes possible when the technology is the starting point rather than an addition.
Where AI in compliance stands
Duco van Lanschot presented what Duna heard in its conversations with compliance leaders across Europe this year, many of them in the room. The short version: fraud has gone AI-native, and the defense has to follow, on the regulator's terms.
"On the internet, nobody knows you're a dog. And we're 40 years later, and we still don't know whether you're a dog on the internet." - Duco van Lanschot, Founder, Duna
"Where we will go in the next three to five years is from a world where CDD analysts are mostly focusing on checkbox work, collecting documents, checking whether it's correct, asking for more information, and little investigation and judgment, to a risk-based world where all of that checkbox work is actually done by the AI, and it becomes the interesting work again." - Duco van Lanschot, Founder, Duna
The first lessons from AI in compliance
Bas van den Brande, Growth, Duna, moderated a panel with Vanessa van der Does, Chief Compliance Officer, NN Group, Sheila Gemin, Partner, Digital Strategy, KPMG, Casey Garretson, Global Head of Compliance, Adyen, and Arnaud Romme, Chief Compliance Officer, Worldline. The panel brought the compliance, risk, technology and advisory views to one table, and the discussion ran on what each of them has seen in the first use cases that reached production.
Sheila Gemin, whose work at KPMG is on scaling technology in complex organizations, published her own account of the panel afterwards. Three of her points carried the discussion.
Start with the result, not the technology. A new technology arrives, the excitement follows, and the technology becomes the starting point. The basic questions come first: where is the gain, in speed, cost or risk, and where does the solution have to work. Only then do the architects and technology experts say what fits, and sometimes the answer is ordinary, proven technology rather than AI.
Follow the business case after it is approved. Financial institutions are good at making business cases and less good at checking whether the benefits arrive. AI costs money in technology, data, people, skills, governance and daily operations, so the question of whether the organization is faster, more productive or cheaper, and what happens to total cost over time, has to be asked again after the investment.
"A business case is not something you approve and put in a drawer. You follow it, you challenge it, and you adjust it when you learn something new." - Sheila Gemin, Partner, Digital Strategy, KPMG, on LinkedIn
Scaling AI is not the same as deploying it. Machine learning has been part of compliance for decades. Generative AI and autonomous agents raise new questions about governance, behavior and accountability, and scaling them needs an architecture, an operating model and governance that keep working over time.
The morning in one line
Michael Binning closed with an old English phrase: fine words butter no parsnips. Talk on its own gets nothing done, and the value of the morning is in what each guest takes back and implements, however small.
"Who knows, tomorrow there could be a swarm of agentic bots coming after our businesses. So maybe we are all still underestimating AI's effect on compliance in the long run." - Michael Binning, Growth, Duna
About Duna
The AI Summit was the first Duna has hosted. Duna builds AI-native client lifecycle management for banks and large fintechs. Founded in 2023 by Duco van Lanschot and David Schreiber, the company has raised over €40 million and counts bol, Plaid, seQura, Mews, and Brand New Day Bank among its customers.
To see how Duna works for your business onboarding and periodic reviews, schedule a demo.
Press contact
Hande Kahraman, Marketing
press@duna.com
Compliance leaders from ABN AMRO, Adyen, NN Group, KPMG, Worldline and ElevenLabs on what it takes to move AI from a pilot into everyday compliance work
Amsterdam, 28 October 2026
Duna brought together a curated group of heads of compliance, MLROs and financial crime leads from banks, payment institutions and regulated fintechs across Europe for a morning on AI in compliance. The event was invitation only and took place at Atelier de Vijzel in Amsterdam. The brief to every speaker was the same: no product pitches and no predictions, only what has been put into production and what was learned from it.
Michael Binning, Growth, Duna, who hosted the morning, set the terms in his welcome.
"Today is about real practical examples of AI in compliance. So what's working, what isn't, and what can you take back to your own companies and teams." - Michael Binning, Growth, Duna
From the pilot to everyday banking
Yorick Naeff, Chief Innovation Officer at ABN AMRO, opened the program in conversation with Duna founder Duco van Lanschot. The subject was the distance between an experiment and a system that colleagues and clients rely on, and what a bank has to do to close it. In his own write-up afterwards, he put it in one line.
"An AI pilot can impress a room. Getting it into everyday banking is where the real work begins." - Yorick Naeff, Chief Innovation Officer, ABN AMRO, on LinkedIn
His answer, as he described it, is to bring technology, people and governance together from the start: choose a real problem, get the right people involved, and measure whether the solution makes things better.
A company built on AI
Ethan Tandowsky, Chief Financial Officer of ElevenLabs and formerly CFO of Adyen, gave the second keynote: how a company built on AI puts it to work across a finance function, followed by questions from the room. The session was programmed as the counterpoint to the first, a view from outside the regulated world on what becomes possible when the technology is the starting point rather than an addition.
Where AI in compliance stands
Duco van Lanschot presented what Duna heard in its conversations with compliance leaders across Europe this year, many of them in the room. The short version: fraud has gone AI-native, and the defense has to follow, on the regulator's terms.
"On the internet, nobody knows you're a dog. And we're 40 years later, and we still don't know whether you're a dog on the internet." - Duco van Lanschot, Founder, Duna
"Where we will go in the next three to five years is from a world where CDD analysts are mostly focusing on checkbox work, collecting documents, checking whether it's correct, asking for more information, and little investigation and judgment, to a risk-based world where all of that checkbox work is actually done by the AI, and it becomes the interesting work again." - Duco van Lanschot, Founder, Duna
The first lessons from AI in compliance
Bas van den Brande, Growth, Duna, moderated a panel with Vanessa van der Does, Chief Compliance Officer, NN Group, Sheila Gemin, Partner, Digital Strategy, KPMG, Casey Garretson, Global Head of Compliance, Adyen, and Arnaud Romme, Chief Compliance Officer, Worldline. The panel brought the compliance, risk, technology and advisory views to one table, and the discussion ran on what each of them has seen in the first use cases that reached production.
Sheila Gemin, whose work at KPMG is on scaling technology in complex organizations, published her own account of the panel afterwards. Three of her points carried the discussion.
Start with the result, not the technology. A new technology arrives, the excitement follows, and the technology becomes the starting point. The basic questions come first: where is the gain, in speed, cost or risk, and where does the solution have to work. Only then do the architects and technology experts say what fits, and sometimes the answer is ordinary, proven technology rather than AI.
Follow the business case after it is approved. Financial institutions are good at making business cases and less good at checking whether the benefits arrive. AI costs money in technology, data, people, skills, governance and daily operations, so the question of whether the organization is faster, more productive or cheaper, and what happens to total cost over time, has to be asked again after the investment.
"A business case is not something you approve and put in a drawer. You follow it, you challenge it, and you adjust it when you learn something new." - Sheila Gemin, Partner, Digital Strategy, KPMG, on LinkedIn
Scaling AI is not the same as deploying it. Machine learning has been part of compliance for decades. Generative AI and autonomous agents raise new questions about governance, behavior and accountability, and scaling them needs an architecture, an operating model and governance that keep working over time.
The morning in one line
Michael Binning closed with an old English phrase: fine words butter no parsnips. Talk on its own gets nothing done, and the value of the morning is in what each guest takes back and implements, however small.
"Who knows, tomorrow there could be a swarm of agentic bots coming after our businesses. So maybe we are all still underestimating AI's effect on compliance in the long run." - Michael Binning, Growth, Duna
About Duna
The AI Summit was the first Duna has hosted. Duna builds AI-native client lifecycle management for banks and large fintechs. Founded in 2023 by Duco van Lanschot and David Schreiber, the company has raised over €40 million and counts bol, Plaid, seQura, Mews, and Brand New Day Bank among its customers.
To see how Duna works for your business onboarding and periodic reviews, schedule a demo.
Press contact
Hande Kahraman, Marketing
press@duna.com
Continue reading
Industries
Customers
Company
Industries
Customers
Company
Industries
Customers
Company