AI in Finance: It's Working, Even If It's Hard to Measure

AI is making its way into just about every industry, and banking is no exception. Whether it's helping with risk modeling or improving customer service, banks are no longer just experimenting—they’re starting to treat AI as a key part of their broader digital strategy. But as adoption grows, many are still struggling with one big question: how do you actually measure the value?

The benefits are often clear—teams are working faster, decisions are better informed, and processes are becoming more efficient. But putting hard numbers on that impact isn’t easy. For now, many banks are choosing to focus less on tracking every metric and more on keeping the momentum going. At the same time, they’re doing the heavy lifting behind the scenes: modernizing outdated systems, moving to the cloud, improving data quality, and tightening governance. It’s all connected—and none of it happens overnight.

One thing is clear: AI isn’t just about technology—it’s about people. Getting new tools in place is only half the story. The bigger challenge is helping people adapt, shift their ways of working, and embrace new habits. The banks that come out ahead will be the ones that see AI not as a one-off project, but as a long-term driver of change in how they operate and how their teams work together.

We’re still early in the journey—but the path forward is starting to take shape.