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Hosted by
Karin Keller-Sutter
Federal Councillor & Head of the Federal Department of Finance, Switzerland
Konstantin Kotulla
Founder
Porters
Konstantin Kotulla is a Co-Founder of Porters, whose AI agents handle the full lifecycle of select operations processes for banks and financial institutions: intake of unstructured information (emails, letters, tickets), context extraction and classification, definition of next-best actions, and execution — triggering actions directly in systems like CRM, core banking, or payments. No manual handoffs, full audit trail — all for mission-critical, regulated processes.
Before founding Porters, he led the commercial function at Upvest one of Europes leading security trading institutes, where he developed deep expertise in scaling regulated financial products across Europe.
Speaking at
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12:00–1:30pmThu 25 JunGFTN InsightsRoundtable Room 3, Ground FloorOpen
Roadmap for AI and Quantum
Governing AI Applications in Financial Services
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André VellozoChief Executive OfficerDrumwave
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Eva Selamlar-LeutholdCo-CEO / ChairwomanThink&Do Tank for Financial Innovation / KYC Spider
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Fred SunHead of EuropeTencent Cloud International
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Isabelle RocciaManaging Director, EuropeIAPP
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Dr. Joseph BreedenChief Executive OfficerCALM XAI
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Konstantin KotullaFounderPorters
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Dr. Nino LandererDeputy Director General Strategy & InnovationDeutsche Bundesbank
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Thiébaut MeyerDirector, Office of the CISOGoogle Cloud
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Prof. Chia Tek YewAdjunct ProfessorNUS - Asian Institute of Digital FinanceModerator
About this session
From autonomous agents to the management of LLM and other generative AI technologies, artificial intelligence disrupts conventional understandings of data governance, particularly within financial services. This disruption is engendering new trade-offs that policymakers, regulators, and financial institutions have to grapple with, including:
- Reducing digital dependencies vs engaging the realities of a borderless market
- Preserving stability and building internal capabilities while optimising for speed and innovation
- Managing regulatory divergence without sacrificing operational coherence across markets
As AI agents become increasingly empowered to execute transactions on behalf of individuals and businesses, and institutions become increasingly reliant on models developed by a concentrated pool of Big Tech players, how can governments, financial infrastructure operators, and financial institutions balance competing objectives? This session aims to develop a set of principles for governing the use of AI and data within financial services, capturing insights from across the ecosystem.
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