The biggest risk is building technically sound solutions to the wrong problems, leading to mis-scoped projects and budget overruns. Failure typically occurs during integration and scaling phases when AI outputs can't be operationalized within real-world workflow constraints. This often results in solution abandonment post-pilot because the AI never connects to core business drivers.
The biggest risk is building technically sound solutions to the wrong problems, leading to mis-scoped projects and budget overruns. Failure typically occurs during integration and scaling phases when AI outputs can't be operationalized within real-world workflow constraints. This often results in solution abandonment post-pilot because the AI never connects to core business drivers.
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The biggest risk is building technically sound solutions to the wrong problems, leading to mis-scoped projects and budget overruns. Failure typically occurs during integration and scaling phases when AI outputs can't be operationalized within real-world workflow constraints. This often results in solution abandonment post-pilot because the AI never connects to core business drivers.
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