Brief Agenda

15 September, 2026

08:00 am

08:30

08:50

Register, grab a coffee, and catch up with familiar faces while meeting new ones.

08:50

09:00

Conference Chair’s Welcome Remarks

Henrik Göthberg

DAIRDUX (Conf. Chair)

09:00 am

09:00

10:00

Panel 1: Opening Panel: Agentic AI in the Wild — From Hype to Early Wins

Where does Agentic AI really stand in financial services today ?
Why are financial institutions taking this seriously now?
What has fundamentally changed in the last 12 months?
AWho moves faster here - incumbents, challengers, or big tech?
Are Nordic and European banks moving fast enough?
Where are the first real production use cases emerging?
Which banking functions are seeing the fastest adoption?
What early wins are delivering measurable business value?
What is holding most institutions back today?
Where are banks still not ready to trust AI?

Barak Chizi

KBC Bank & Verzekering

James Chalk

Google

Mattias Fras

Nordea

Dr. Oliver Maspfuhl

Deutsche Bank

Senior Executive

Available for Platinum Sponsor

Henrik Göthberg

DAIRDUX (Conf. Chair)

10:00 am

10:00

10:25

From AI Pilots to Agentic Execution: Who Scales First

Most financial institutions are experimenting but who is moving into production?
Where does agentic AI deliver value first operations, risk, servicing, or growth?
Why governance, trust, and operating models now matter more than models alone?
What separates institutions scaling agentic AI from those stuck in pilots?

Senior Executive

Available for Title Sponsor

10:25

10:45

From Experimentation to Execution: Where Agentic AI Is Creating Real Business Value

Which AI use cases are moving beyond pilots today?
Where financial institutions are seeing the earliest operational and customer impact?
What failed, what scaled, and what changed along the way?
How leadership teams decide where AI is trusted to act first?

Asko Mustonen

If Insurance

10:45

11:05

From Prototype to P&L: Commercialising AI in Investment Management

Asset Management is a data- and knowledge-driven business, making it a natural fit for AI not just for efficiency, but for measurable commercial impact. This keynote explores practical, near-term applications of AI in investments that move beyond experimentation into production, and explains the operating model required to scale them: prioritising the right opportunities, building reusable data and tooling foundations, and tracking outcomes across revenue, productivity, and time-to-market.

Galina Alova

HSBC

11:00 am

11:05

11:35

Morning Networking Break/ Pre-Arranged Meetings (30 minutes)

11:35

11:55

From Automation to Autonomy: Redesigning Financial Operations for the AI Era

Automation improved workflows - agentic AI is now changing decisions?
Why operational scale demands more than isolated AI pilots?
Where financial institutions are embedding AI across servicing, onboarding, and risk?
What separates enterprise transformation from automation theatre?

Senior Executive

DataSnipper

11:55

12:40

Panel 2: Beyond Workflows: The Rise of Autonomous Operations

Which banking workflows are closest to autonomous execution?
Where is AI delivering operational impact today?
What still breaks when AI meets real operations?
Can legacy architectures support truly autonomous operations?
How are financial institutions redesigning workflows around AI?
Which decisions no longer require a human in the loop—and which always should?
How do you scale autonomy without losing control?
Who owns agentic transformation inside the financial institution?
What does operational ROI actually look like today?
What operating models will define the next winners?

Richard Davies

Allica

Kevin Albrecht

Resurs

Prerit Ahuja

DNB Carnegie

John Skov

Nordea

Karoliina Kettukari

OP Pohjola

Gervase Bevan

Alteryx (Moderator)

12:40

13:00

When Automation Starts Thinking: The Next Operating Model for Financial

Automation removed tasks - agentic AI is now reshaping decisions?
Why workflows, data, and governance matter more than models alone?
Where financial institutions are trusting AI with higher-value actions?
What it takes to scale autonomy without losing control?

Senior Executive

Available for Gold/Silver Sponsor

13:00

14:00

Networking Lunch/ Pre-Arranged Meetings (60 mins)

14:00

14:20

Beyond Hype: Operationalizing Agentic Payments

Which parts of the payment stack need redesign first?
Where do orchestration, fraud, and real-time decisioning collide?
How do financial institutions and merchants scale autonomy without adding risk?
What capabilities will define payment leaders over the next 24 months?

Carlos Alvite

ABBYY

14:20

15:00

Panel 3: When Fraud Starts Thinking: Can Financial Institutions Stay Ahead?

How is AI changing the fraud landscape across financial services?
Are institutions prepared for synthetic identities and AI-driven deception?
Can traditional fraud models still survive in real-time environments?
Where is AI already outperforming human investigators?
What new risks emerge when AI systems start making financial decisions?
Who owns trust when AI gets a transaction wrong?
Can regulation keep pace with AI-driven financial crime?
Are we entering an AI vs AI arms race?
What will separate trusted institutions from vulnerable ones?

Charles Phiri

JPMorganChase

Lala Bregvadze

Pave Bank

Maja Mikić

Aik Bank

Dr Joanna Michalska

Ethica Group Ltd (Moderator)

15:00

15:30

Networking Break/ 1-2-1 Meetings (30 mins)

15:30

15:50

Fighting AI with AI

Are fraud teams ready for synthetic identities and machine-led attacks?
Where does human investigation still outperform machine intelligence?
How do institutions balance speed, trust, and false positives in real time?
What will define the next generation of fraud defense?

Senior Executive

Available for Fire Side

15:50

16:30

Closing Panel: Scaling Agentic AI Without Losing Control

What does a true control layer for autonomous finance look like in production?
Biggest barrier to scaling Agentic AI today? Technology, data, governance or organisational readiness?
Can legacy architecture support autonomous decision-making at scale?
How are institutions rethinking data governance for agentic AI?
Who owns control—technology, business, risk, or the board?
How are institutions balancing speed, control and regulatory expectations?
Are regulators ready for machine-led financial decisioning?
What does success look like over the next 24 months?
Who will scale faster—those building models, or those building control?