Why Hybrid AI Is No Longer Optional In Banking And Finance

InnovationWhy Hybrid AI Is No Longer Optional In Banking And FinanceBySam Sammane,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 22, 2026, 03:00pm EDT​Sam Sammane is the CEO of TheoSym. gettyWhere finance and banking are involved, there is one thing I am sure about: You cannot afford to use ChatGPT or any generic AI “as is.” It is tempting to be dazzled by the ability of these large language models, but when you’re dealing with interest rates, contracts and regulatory compliance as your business, that dazzle is dangerous. The future of AI in banking and finance is hybrid and custom. That is not an opinion. It is a necessity.Why Generic AI Falls ShortPeople like to imagine AI as a tidy, deterministic engine. It's not. The foundation of these models is probability. They've been shown millions of examples, and they're estimating outputs. Under the hood, it's a black box. We program it, but when it's running, we don't control the exact path it takes.If you've experimented with "temperature," you've seen this firsthand. I like to think of it as similarity. Lower the temperature, and you get the same output every time because the model is looking for the highest similarity to the training data. Raise it, and you're inviting the AI to accept less similarity. This is where it gets "creative" or, to put it more bluntly, hallucinatory. Creativity can be fun in marketing copy. In banking, hallucinations are catastrophic.I've witnessed AI give different answers to identical prompts, analyzing the same contract twice, claiming 70% compliance one day and 100% the next. Consider a calculator that gives you two distinct answers for the same multiplication problem. That's what we're dealing with.The Hidden Risks In Financial ApplicationsNow think about w...