Banks should prioritize building reusable foundational AI capabilities
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AI-assisted source synthesis · not an independent investigation.
On October 19, 2026, Banking Dive reported that when purchasing AI tools, banks should not deploy them one by one around individual problems, but should first assess whether they can build reusable decision engines, data models, and governance layers. The report said this would help avoid “agent sprawl” and technical debt caused by the uncontrolled expansion of AI agents. The report also said that a typical bank may soon be running as many as 30 isolated AI agents; an MIT study found that 95% of organizations have not yet obtained measurable returns from their generative AI investments.
AI-written from reports · updated 2 hours ago
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- Banking DiveBefore buying AI tools, banks should first ask whether they can build reusable foundational capabilities
Banks should not use AI tools to solve isolated problems one by one, but should prioritize building reusable decision engines, data models, and governance layers to avoid agent sprawl and technical debt. A typical bank could soon be running as many as 30 isolated AI agents; MIT research found that 95% of organizations have not achieved measurable returns from their generative AI investments.
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