AI & Trusted Finance
Monday 23 November 2026 · 23–27 November 2026
AI-native banking, governance, model risk, data foundations, and the path from pilots to enterprise value.
The organiser records the desk opening at 08:30, the first entry at 09:00, and the day closing: Networking reception ends 15:45. All times are stated in Central European Time (CET).
08:30–09:00All rooms
Registration, welcome coffee & executive networking Badge collection, event app access, room orientation. Curated introductions between banks, fintechs and strategic partners.
No attribution is published for this entry.
09:00–09:30Main 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.
Attributed by the organiser to Rita Gnutti · Head of Internal Validation and Controls · Intesa Sanpaolo · Italy.
09:00–09:30Innovation & 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.
Attributed by the organiser to Oliver Maspfuhl · Head of Anti Financial Crime Modelling Germany & EMEA · Deutsche Bank · Germany.
09:30–10:00Innovation & 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.
Attributed by the organiser to Gladson Baby · VP & Director of Data & AI Enablement · Fifth Third Bank · US.
10:00–10:30Main 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.
Attributed by the organiser to Frans Vanbruggen · Werkgebied Lead · AI Coalitie 4 Nederland (AIC4NL) · Netherlands.
10:00–10:30Innovation & 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.
Attributed by the organiser to Dr. Paul Dongha · Head of Responsible AI & AI Strategy · NatWest Group · UK.
10:30–11:00Main 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.
Attributed by the organiser to Alina Timofeeva · Managing Partner — AI, Data & Digital Transformation · Saudi Arabia.
10:30–11:00Innovation & 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.
Attributed by the organiser to Zsofia Kovacs · Efficiency Advisor, Group Organisation & Operations · KBC Bank & Verzekering · Belgium.
11:00–11:30All rooms
Networking break Refreshments, peer exchange, targeted 1:1 meetings. Preparation for AI operating-model sessions.
No attribution is published for this entry.
12:00–12:30Main 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.
Attributed by the organiser to Hassan Omidi Firouzi · VP, Applied AI ML Lead · JPMorgan Chase & Co. · US.
12:30–13:00Main 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.
Attributed by the organiser to Dilek Süzal · Leadership Coach · BetterUp · Austria.
12:30–13:00Innovation & 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.
Attributed by the organiser to Ramesh Gopal · Chief Risk Officer UAE & Saudi · Deutsche Bank · UAE.
13:00–14:00All rooms
Networking lunch Hosted lunch with speaker and delegate introductions. Informal discussions around AI adoption, operations and governance.
No attribution is published for this entry.
14:00–15:15All rooms
Afternoon panel discussions Multi-bank panels on AI scaling, governance, and human resilience across both rooms.
No attribution is published for this entry.
15:15–15:45All rooms
Networking reception Day 1 closes with informal networking and partner meetings.
No attribution is published for this entry.


























