Flexible infrastructure remains one of the biggest challenges for banking and credit union leaders, and the rise of AI is adding to it. Scaling agentic AI across multiple banking services means the core infrastructure has to accommodate that growth while staying secure.
There's much debate in the financial world about whether it's best to rip and replace legacy infrastructure and rebuild anew or simply modernize the infrastructure to support AI systems.
For banking leaders, the balancing act comes down to speed versus risk: how much infrastructure change can you afford, and how fast can you afford to make it?
Many banks and credit unions have already settled the rip-and-replace versus modernize debate and have core infrastructure in place to support agentic AI. But that's when the harder question shows up: how far does that infrastructure actually need to stretch?
Scaling isn't just about handling more transaction volume. It means supporting more AI agents, running across more departments, at the same time, without slowing down or creating new points of failure. Security must scale with it too. More agents interacting with core systems opens more ways for something to go wrong.
of banking and credit union leaders name legacy infrastructure as the single biggest barrier to transformation, more than double those who name culture and change management.
As one of the key themes at the banking conference, Intelligent Infrastructure sessions focus on use cases from leaders who have taken infrastructure from a single AI pilot to running at scale across the business.
Hear from the banks and credit unions that have already made the core call at Banking Transformation Summit USA.