Many companies still approach AI in customer service as a plug-and-play tool: implement, automate, scale. In banking and insurance, however, this approach quickly leads to regulatory and reputational risks. Because a different logic applies here: The more sensitive the request, the higher the requirements — and the clearer the limits of automation. A recent McKinsey study shows
Banks are sitting on one of their most valuable, yet least exploited resources: transaction data. Millions of bookings provide daily insights into consumer behaviour, life situations, risks and opportunities — but mostly in a form that is not directly usable. “Transaction Data Enrichment” describes the process of systematically refining this raw data: through AI, classification
How intelligent AI agents are transforming the front-end of banks – and why the new book “Digital Dimensions in the Financial Industry” is being published at exactly the right time. The financial sector is in the midst of a decisive transformation. The new book “Digital Dimensions in the Financial Industry” from Frankfurt School confirms this