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PROGRAMME

Full agenda.

Five thematic days across two parallel rooms — Room A (Main Stage) and Room B (Innovation & Implementation). Last updated 13 August 2026. Times subject to change.

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Day 1 · Monday Day 2 · Tuesday Day 3 · Wednesday Day 4 · Thursday Day 5 · Friday
Monday 23 November 2026

The AI-Native Bank and Trusted Finance

AI GOVERNANCE · AGENTIC SYSTEMS · OPERATING MODELS · HUMAN RESILIENCE
Day overview →
Time Room A · Main Stage Room B · Innovation & Implementation
08:30–09:00 Registration, welcome coffee & executive networking
Badge collection, event app access, room orientation. Curated introductions between banks, fintechs and strategic partners.
09:00–09:30
AI governance & model risk
  • Define what trusted AI-driven finance means for banks in 2027–2030.
  • Link customer value, transparency and control to scalable AI adoption.
  • Address model risk, explainability and governance guardrails.
Rita Gnutti · Head of Internal Validation and Controls · Intesa Sanpaolo · Italy
AI governance with a special emphasis on Agentic Systems
  • Move from isolated AI pilots to enterprise-wide architecture and delivery.
  • Align data foundations, leadership sponsorship and operating model change.
  • Measure AI ROI across productivity, risk, cost and customer outcomes.
Oliver Maspfuhl · Head of Anti Financial Crime Modelling Germany & EMEA · Deutsche Bank · Germany
09:30–10:00
Business intelligence, operations control & data-led risk management in banking
  • Turn business intelligence into practical operational control across banking functions.
  • Link data quality, reporting and decision intelligence to risk management.
  • Improve early-warning indicators across operations, credit, fraud and compliance.
Christopher Nason · Director, Global Head of Business Intelligence Unit · Deutsche Bank Securities · UK
Data, AI enablement & intelligent automation for bank operations
  • Link data enablement, intelligent automation and system integration to operational performance.
  • Identify automation opportunities that reduce manual work without weakening control.
  • Use AI-enabled workflows to improve consistency, speed and traceability.
Gladson Baby · VP & Director of Data & AI Enablement · Fifth Third Bank · US
10:00–10:30
Scaling AI responsibly: leadership playbook for AI risk & compliance
  • AI is rapidly moving from pilot phase into broad deployment within banks.
  • Setting up guardrails and continuous monitoring become essential to stay in control.
  • The regulator should be taken along the AI journey — they need to be guided.
Frans Vanbruggen · Werkgebied Lead · AI Coalitie 4 Nederland (AIC4NL) · Netherlands
AI Governance: mitigating the risks of AI to unlock its true value
  • Turn AI governance from policy documentation into daily operating practice.
  • Clarify ownership across model risk, compliance, technology and business lines.
  • Build evidence trails, control towers and continuous monitoring routines.
Dr. Paul Dongha · Head of Responsible AI & AI Strategy · NatWest Group · UK
10:30–11:00
AI-driven banking by 2030: from transformation ambition to measurable execution
  • Translate AI, data and digital transformation strategy into bank-wide execution.
  • Identify the capabilities required for AI-driven banking by 2030.
  • Link leadership alignment, governance and value measurement.
Alina Timofeeva · Managing Partner — AI, Data & Digital Transformation · Saudi Arabia
From Process Scans to Scalable Execution: Building Human & Machine Operating Models
  • Re-imagine key processes according to future needs.
  • Build operating models of human & machine working together in scalable, efficient setup.
  • Real case examples from the Groupwide Transformation Program at KBC Group.
Zsofia Kovacs · Efficiency Advisor, Group Organisation & Operations · KBC Bank & Verzekering · Belgium
11:00–11:30 Networking break
Refreshments, peer exchange, targeted 1:1 meetings. Preparation for AI operating-model sessions.
12:00–12:30
Case study: AI & machine learning in operations and fraud detection
  • Explain where AI and machine learning create value across operations and fraud detection.
  • Identify model, data and control requirements for safe deployment in regulated banking.
  • Move from alert-heavy monitoring toward actionable operational intelligence.
Hassan Omidi Firouzi · VP, Applied AI ML Lead · JPMorgan Chase & Co. · US
AI-at-scale banking leadership: board priorities, execution discipline and measurable value
  • Set board-level priorities for scaling AI beyond pilots.
  • Align digital ambition with risk appetite, customer outcomes and operational readiness.
  • Identify leadership disciplines needed to govern AI adoption at scale.
Przemek Gdanski · President & CEO · BNP Paribas Bank Polska · Poland
12:30–13:00
Human resilience in AI-driven banking
  • Explore why human resilience becomes critical as banks adopt AI-driven operating models.
  • Support leadership, adaptability and change readiness across transformation teams.
  • Reduce fatigue and resistance during technology-led change.
Dilek Süzal · Leadership Coach · BetterUp · Austria
Credit risk management, related modelling and stress testing in an era of trade wars: the AI solution
  • Convert fragmented data into reusable business data products.
  • Link payments, credit, fraud, stress testing and customer insights.
  • Improve data ownership, quality and governance for AI use cases.
Ramesh Gopal · Chief Risk Officer UAE & Saudi · Deutsche Bank · UAE
13:00–14:00 Networking lunch
Hosted lunch with speaker and delegate introductions. Informal discussions around AI adoption, operations and governance.
14:00–15:15 Afternoon panel discussions
Multi-bank panels on AI scaling, governance, and human resilience across both rooms.
15:15–15:45 Networking reception
Day 1 closes with informal networking and partner meetings.
08:30–09:00
Registration, welcome coffee & executive networking
Badge collection, event app access, room orientation. Curated introductions between banks, fintechs and strategic partners.
09:00–09:30 · Room A · Main Stage
AI governance & model risk
  • Define what trusted AI-driven finance means for banks in 2027–2030.
  • Link customer value, transparency and control to scalable AI adoption.
  • Address model risk, explainability and governance guardrails.
Rita Gnutti · Head of Internal Validation and Controls · Intesa Sanpaolo · Italy
09:00–09:30 · Room B · Innovation & Implementation
AI governance with a special emphasis on Agentic Systems
  • Move from isolated AI pilots to enterprise-wide architecture and delivery.
  • Align data foundations, leadership sponsorship and operating model change.
  • Measure AI ROI across productivity, risk, cost and customer outcomes.
Oliver Maspfuhl · Head of Anti Financial Crime Modelling Germany & EMEA · Deutsche Bank · Germany
09:30–10:00 · Room A · Main Stage
Business intelligence, operations control & data-led risk management in banking
  • Turn business intelligence into practical operational control across banking functions.
  • Link data quality, reporting and decision intelligence to risk management.
  • Improve early-warning indicators across operations, credit, fraud and compliance.
Christopher Nason · Director, Global Head of Business Intelligence Unit · Deutsche Bank Securities · UK
09:30–10:00 · Room B · Innovation & Implementation
Data, AI enablement & intelligent automation for bank operations
  • Link data enablement, intelligent automation and system integration to operational performance.
  • Identify automation opportunities that reduce manual work without weakening control.
  • Use AI-enabled workflows to improve consistency, speed and traceability.
Gladson Baby · VP & Director of Data & AI Enablement · Fifth Third Bank · US
10:00–10:30 · Room A · Main Stage
Scaling AI responsibly: leadership playbook for AI risk & compliance
  • AI is rapidly moving from pilot phase into broad deployment within banks.
  • Setting up guardrails and continuous monitoring become essential to stay in control.
  • The regulator should be taken along the AI journey — they need to be guided.
Frans Vanbruggen · Werkgebied Lead · AI Coalitie 4 Nederland (AIC4NL) · Netherlands
10:00–10:30 · Room B · Innovation & Implementation
AI Governance: mitigating the risks of AI to unlock its true value
  • Turn AI governance from policy documentation into daily operating practice.
  • Clarify ownership across model risk, compliance, technology and business lines.
  • Build evidence trails, control towers and continuous monitoring routines.
Dr. Paul Dongha · Head of Responsible AI & AI Strategy · NatWest Group · UK
10:30–11:00 · Room A · Main Stage
AI-driven banking by 2030: from transformation ambition to measurable execution
  • Translate AI, data and digital transformation strategy into bank-wide execution.
  • Identify the capabilities required for AI-driven banking by 2030.
  • Link leadership alignment, governance and value measurement.
Alina Timofeeva · Managing Partner — AI, Data & Digital Transformation · Saudi Arabia
10:30–11:00 · Room B · Innovation & Implementation
From Process Scans to Scalable Execution: Building Human & Machine Operating Models
  • Re-imagine key processes according to future needs.
  • Build operating models of human & machine working together in scalable, efficient setup.
  • Real case examples from the Groupwide Transformation Program at KBC Group.
Zsofia Kovacs · Efficiency Advisor, Group Organisation & Operations · KBC Bank & Verzekering · Belgium
11:00–11:30
Networking break
Refreshments, peer exchange, targeted 1:1 meetings. Preparation for AI operating-model sessions.
12:00–12:30 · Room A · Main Stage
Case study: AI & machine learning in operations and fraud detection
  • Explain where AI and machine learning create value across operations and fraud detection.
  • Identify model, data and control requirements for safe deployment in regulated banking.
  • Move from alert-heavy monitoring toward actionable operational intelligence.
Hassan Omidi Firouzi · VP, Applied AI ML Lead · JPMorgan Chase & Co. · US
12:00–12:30 · Room B · Innovation & Implementation
AI-at-scale banking leadership: board priorities, execution discipline and measurable value
  • Set board-level priorities for scaling AI beyond pilots.
  • Align digital ambition with risk appetite, customer outcomes and operational readiness.
  • Identify leadership disciplines needed to govern AI adoption at scale.
Przemek Gdanski · President & CEO · BNP Paribas Bank Polska · Poland
12:30–13:00 · Room A · Main Stage
Human resilience in AI-driven banking
  • Explore why human resilience becomes critical as banks adopt AI-driven operating models.
  • Support leadership, adaptability and change readiness across transformation teams.
  • Reduce fatigue and resistance during technology-led change.
Dilek Süzal · Leadership Coach · BetterUp · Austria
12:30–13:00 · Room B · Innovation & Implementation
Credit risk management, related modelling and stress testing in an era of trade wars: the AI solution
  • Convert fragmented data into reusable business data products.
  • Link payments, credit, fraud, stress testing and customer insights.
  • Improve data ownership, quality and governance for AI use cases.
Ramesh Gopal · Chief Risk Officer UAE & Saudi · Deutsche Bank · UAE
13:00–14:00
Networking lunch
Hosted lunch with speaker and delegate introductions. Informal discussions around AI adoption, operations and governance.
14:00–15:15
Afternoon panel discussions
Multi-bank panels on AI scaling, governance, and human resilience across both rooms.
15:15–15:45
Networking reception
Day 1 closes with informal networking and partner meetings.

Agenda subject to change. All times Central European Time (CET). Last updated 13 August 2026.

Five days. One pass.

Move between Room A and Room B. Pre-book meetings. Take home practical, peer-tested answers.

Register Now
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