As AI capabilities become more widely available, financial institutions face a harder question: what will make their use of the technology difficult to replicate? Access to models alone offers little assurance of lasting differentiation.
Where can agentic AI generate additional revenue, improve pricing or make previously uneconomical services viable? Does advantage come from proprietary data, distribution, partnerships or the ability to redesign a business proposition?
This conversation examines which strategic choices could create defensible value, and what evidence would justify committing capital to them.

AI is changing how businesses buy, pay and move money. Systems can now interpret intent and orchestrate invoice approval, payment execution and reconciliation as a single journey within defined controls. This shift is not about faster payments. It is a move from managing transactions to managing outcomes. Hear practical examples, a framework for the agentic enterprise, and what it takes in trust and infrastructure to scale agentic commerce responsibly.

As international visitors return to China in growing numbers, the way money flows into the country is being rebuilt across several rails at once: international cards linked to domestic mobile wallets, overseas e-wallets connecting directly to local acceptance networks, cross-border QR interoperability, and next-generation remittance channels. What does it take to connect these rails, and what opportunities does it open up for payment providers, banks, merchants and fintechs worldwide?