One Midwestern community bank is letting artificial intelligence (AI) agents compile more targeted prospects for its business bankers.

When implemented with a clear strategy, agentic artificial intelligence can close the gap between data storage and decisive action created by traditional customer relationship management.

Consultants say a tiered approach to managing the risk posed by artificial intelligence can help financial institutions avoid bottlenecks that impede innovation.

Check fraud continues to present significant payment risks for banks, but modernizing check fraud controls and evaluating partners can improve operations without adding friction or complexity.

Deciding which emerging technology solutions to prioritize can be overwhelming. The answer lies in your business model.

The economics that made free checking viable for decades have changed. Institutions still betting on the old model are protecting a product instead of a relationship.

Generative artificial intelligence tools could reinvent how customers interact with their financial institutions, potentially becoming their primary access point.

Bankers at the Bank C-Suite Summit said they know AI tools are important, but some are finding it difficult to identify the best ways to deploy them.

Often considered a mere operational function, receivables should be reframed as a growth and risk management priority.

A new series from FinXTech explores how banks are solving technology problems.