Banks that succeed with AI will be those that anchor it in well-defined challenges, integrate it intentionally and keep humans firmly in the loop.

For decades, banks have relied on complex data plumbing to connect systems. AI is replacing that work with real-time, adaptive integration that makes data usable instantly.

Community banks can close the gap with larger institutions by deploying artificial intelligence agents to improve new account acquisition.

Effectively implementing artificial intelligence can drive growth by allowing commercial bankers to focus on client relationships.

AI is fueling an increase in fraud, but financial institutions can fight back using more sophisticated AI tools.

Financial institutions can use large language models (LLMs) to strengthen relationships, identify risk and stay competitive in a changing market.

The shift to agentic AI won’t just change origination, it will redefine how financial institutions operate.

Generative AI is rapidly changing the banking landscape, and financial institutions that adopt it now are poised to outpace competitors.

Kyall Mai, chief innovation officer at Esquire Bank, joins Reinventing Banking to share how the bank’s year-long AI experiment has gone and why the marketing team is the perfect test case to use artificial intelligence in a financial institution.

Financial leaders who want their employees to use artificial intelligence more are setting goals to drive adoption and offering training on how to use it.