Financial institutions have moved beyond AI experimentation to early deployment across client engagement, operations, risk management, compliance and investment workflows. As adoption accelerates, the challenge is no longer whether to use AI, but how to embed it across the enterprise in ways that deliver measurable business value. Success will require more than technology deployment. It will depend on how institutions redesign workflows, develop talent, evolve operating models and integrate AI into day-to-day decision-making and execution.
 
Building on the momentum of PathFin.ai, which has engaged over 500 financial institutions and AI FinTechs, this roundtable brings together industry leaders to share lessons from AI adoption at scale. Participants will discuss how institutions are translating AI investments into productivity gains and business outcomes, preparing their organisations for increasingly agentic operating models, and balancing innovation with accountability, resilience and trust. The discussion will also explore the partnerships, capabilities and industry resources needed to accelerate enterprise-wide AI transformation across the financial sector.

Advances in AI are enabling multiple intelligent agents to collaborate, make decisions and execute complex tasks with increasing autonomy. In financial systems, these capabilities could support new approaches to economic simulation, policy analysis, supervisory monitoring and increasingly autonomous operations.

While offering significant opportunities to enhance decision-making and system efficiency, they also introduce new questions around governance, validation, accountability, systemic behaviour and financial stability. This roundtable will critically assess these emerging capabilities, associate risks and examine the implications for central banking.

Globally, regulators are each moving ahead with their own AI governance tracks, ranging from voluntary frameworks to draft legislation and sector-specific rules. This growing regulatory fragmentation, if not managed well, could raise the compliance burden for regional fintechs and banks, and ultimately undermine broader goals of achieving integrated digital markets, with multinational financial institutions having to account for different risk-classification, testing, and disclosure regimes in their AI use-cases.

Using Southeast Asia as a case, this roundtable takes stock of how ASEAN member states regulate and supervise AI in financial services, and where closer alignment is within reach. Participants, including ASEAN central banks, banking associations, and regional financial institutions, will discuss the most pressing near-term opportunities to leverage and challenges to address.

Roundtable outputs will feed into efforts to build a long-term implementation roadmap to facilitate greater alignment across AI governance in ASEAN, with lessons relevant to any region working to bring AI rules closer together.