Banking Has Learned to Launch AI, but Making It Work Is the Real Test

This article analyzes the current state of artificial intelligence adoption within the banking sector, arguing that while financial institutions have become proficient at launching AI initiatives, integrating them into core operations remains a significant challenge. Major banks like HSBC, Santander, and Bank of America, along with fintechs like Revolut and Starling, are actively deploying AI assistants and agents. However, the author contends that these launches often mask underlying operational inefficiencies, where AI tools are layered atop fragmented legacy systems governing product rules, pricing, and approvals. The piece highlights a critical distinction between treating AI as a superficial feature versus embedding it into the fundamental operating model. Citing Gartner research predicting that over 40% of agentic AI projects may be cancelled by 2027 due to high costs and weak value, the article warns against mistaking pilot successes for true transformation. The central argument is that the industry must move beyond the 'theatre' of launch announcements to address the complex realities of governance, risk control, and seamless workflow integration to achieve genuine operational capability.