The industry is increasingly asking: What needs to surround AI before we can trust it?
AI needs four things to work well in financial services: data, context, governance, and human oversight. The first two sharpen its intelligence; the latter two make it trustworthy.
As banks weave AI into their customer experiences, many are looking for ways to translate years of customer data into a more complete picture of each customer's needs and context.
The difference isn't the data itself, but how well a bank makes sense of a customer's context and goals and builds the right response around that.
Bank of America has resisted the urge to use AI as a shortcut to efficiency, a temptation that has driven many companies into expensive and poorly conceived AI investments.
EricaAssist offers the clearest example of Bank of America's data-first AI strategy, with the bank recently enhancing the employee assistant by integrating Gen AI capabilities.
Tearsheet’s AI Innovation Awards spotlight the companies applying AI to reimagine how financial products are built, delivered, and experienced.
This year’s winners -- Fifth Third Bank, Plaid, Titan, Casap, Carpe, Intuit, Cascading AI (Casca), and SEON -- are applying AI beyond the buzz to solve real problems and shape the future of financial services.
