AI in Banking: From activity metrics to customer outcomes

For banks, successful AI adoption is not about counting tokens or measuring activity. It is about creating measurable results for customers – reducing costs, increasing revenue and improving the quality of services. In the Video Christopher Young, Adobe, explains why close cooperation between business and IT, shared performance metrics and clearly defined workflows are essential. Banks must establish the right guardrails: What can an AI agent do? Which decisions remain with employees? And how can AI explain the rationale behind its recommendations or adjustments?