What separates leading banks is not how many models or agents they deploy, but whether they can safely scale their own intelligence in core production at controlled cost. Models will keep changing; banks must stay in charge of how that intelligence is built, operated and evolved. This session unpacks the architecture behind it: open architecture and open source for freedom to choose; full-lifecycle Token management for controllable cost; knowledge and engineering assets for faster reuse; and an Agent marketplace with Skills for business-led assembly.

Smart economies are beginning to make decisions and act across transport, energy, commerce and finance. Banking’s next shift may follow: AI agents could move from advising customers to initiating transactions, coordinating services and managing financial outcomes on their behalf. That prospect raises a structural question: can systems built around human instructions, batch payments and familiar forms of accountability support finance conducted at machine speed? The answer depends on more than a smarter interface. It requires new architecture, agentic compliance and risk controls that preserve human oversight where it matters. Banking 5.0 sets out the case for that transition and what separates structural change from a chatbot layered over legacy systems.

Imagine an economy where software doesn't just recommend decisions—it makes them, negotiates them, and settles them, all without a human in the loop. That future arrives when agentic AI meets programmable money. Autonomous agents that can transact, and digital money that can execute logic on its own, together unlock machine-speed commerce that today's financial rails were never built to handle. Learn how agentic AI and programmable money combine to reshape payments, settlement, and value exchange, what new risks emerge when agents transact autonomously, and how institutions should prepare for an economy that runs itself.