Banks face mounting pressure to move faster and operate smarter. Real‑time payments are now table stakes, and AI has become a board‑level priority. Yet many initiatives stall for the same reason: institutions are not architected for an always‑on, data‑driven operating model.
This session examines why AI and real‑time payment efforts fail—not because of the technology itself, but because foundational gaps in data, integration, infrastructure resilience, and risk controls undermine scale and trust. Drawing on readiness frameworks and benchmark research, we will highlight where banks overestimate their preparedness and where hidden bottlenecks threaten performance, security, and customer confidence.
Attendees will learn what separates institutions that are merely connected to real‑time rails or piloting AI from those truly ready to deliver real‑time intelligence at scale—and what must be addressed first to close the readiness gap.
