The Most Promising Use Cases for Agentic AI in Banking

Agentic AI — a type of AI that can autonomously make decisions and execute on them — has entered the financial services industry, and more use cases are on the horizon.

According to a survey of 250 banking executives by MIT Technology Review Insights, 70% of respondents say their institution is already using agentic AI. Successful use cases include improving fraud detection (56%), enhancing security (51%), reducing cost and increasing efficiency (41%), and improving customer experience (41%).

In addition to these use cases, community financial institutions (CFIs) can take advantage of even more ways that agentic AI can improve efficiency with the right training data. Since most CFIs will likely turn to fintechs and other vendors with developed agentic AI solutions that institutions can plug and play, it’s important to know what types of human behaviors should be mimicked and incorporated into the agentic AI’s training model in order to make it as accurate and efficient as possible.

Read article from PCBB.