Lukas Haffer is CEO of CASCA.
Large enterprises are adopting AI quickly, and banking is no exception. The promise is obvious: more revenue, lower costs and better products for happier customers and employees.
But another reality is emerging. Many organizations are asking, “Are we getting value? Are we spending efficiently? Where can AI actually be helpful?”
Those questions are increasingly relevant because the worst-case scenario is no longer theoretical. A company gets excited, gives everyone a generic AI tool and hopes productivity will self-organize. Then the bills come in, the token budget is gone and what the organization has to show for it is not transformation. It is noise.
In some companies, AI has become a way to produce more artifacts without solving more problems. Every meeting has a summary, every summary has follow-ups and those follow-ups become emails that do not quite make sense. The danger is that organizations spend both salary and the extra AI money while less quality work gets done.
