The article discusses the limitations of current AI implementations in finance operations, highlighting that many focus on model intelligence rather than addressing coordination challenges between systems and tools. It emphasizes that workflows often fail due to poor handoffs and integration issues rather than a lack of model capability. The author argues for a shift in focus toward improving coordination and system interoperability to enhance AI effectiveness in business environments.
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