Banks are adding AI to a model that AI makes obsolete

A new report from TechRadar highlights that while financial institutions are aggressively adopting artificial intelligence, many are failing to achieve true transformation. Banks are currently integrating AI tools into legacy systems designed for human-led processes, effectively creating a layer of technical debt rather than reimagining their operations. Experts argue that for AI to reach its full potential, banks must shift from product-centric models to outcome-based architectures. This involves moving beyond simple chatbots or automated fraud detection toward agentic systems capable of coordinating complex financial decisions within defined guardrails. By focusing on customer objectives—such as liquidity management—rather than individual banking products, institutions can leverage AI to proactively manage finances. However, success requires a fundamental redesign of workflows, ensuring that AI agents operate with clear permissions, transparent logs, and human oversight, rather than merely acting as an interface for outdated, siloed banking processes.