The AI-native bank is an accountability question, not a technology one
The AI-native bank is an accountability question, not a technology one
Publish Date: 2026-06-15 22:09:00
Source Domain: www.theasianbanker.com
When automated systems inside a bank recommend a credit decision, flag a liquidity stress signal or initiate a transaction without direct human instruction, the question of where institutional judgement sits and who remains accountable for the outcome has become harder to answer. The governance frameworks designed for slower, human-led decisions were not built for a system in which models act on their own judgement.
That concern shaped a closed-door CXO roundtable at The Asian Banker Summit 2026 in Kuala Lumpur, supported by Ant Digital Technologies, which brought together bank chief executives, payment leaders and technology executives from institutions including Affin Bank, Asian Institute of Chartered Bankers, Bank Islam, Cradle Fund, Deutsche Bank, Hong Leong Bank, Hong Leong Islamic Bank, MBSB Bank, MUFG Malaysia, NETS, OCBC Malaysia, PayNet, Prudential Assurance Malaysia, Standard Chartered Saadiq Malaysia and UOB Malaysia. Patrick McHenry, former Chair of the United States (US) House Financial Services Committee, joined as a principal speaker, together with Emmanuel Daniel, Founder of TAB Global and Gordian Gaeta of The Asian Banker Summit Advisory Council
The discussion ranged across AI-native banking, the collapse of Silicon Valley Bank (SVB), cross-border payments, stablecoins, programmable money and agent-to-agent commerce. The strands shared a common analytical concern. The faster banks deploy AI for decisions and transactions, the more the governance, control and operating-model assumptions inside institutions become a key limitation, not the technology itself.
AI-native banking is an operating-model question
Leo Li, President of International Business at Ant Digital Technologies, said AI-native banking requires changes to organisational design, decision-making, product architecture and operating models, not a migration from conventional IT to AI infrastructure. He compared the shift to the electric vehicle….
