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Automation promises speed, scale, and efficiency, but many initiatives fail before delivering real value due to common mistakes. As organizations rush to adopt RPA, AI, and intelligent automation, common mistakes, such as relying on a single technology, ignoring IT governance, or automating broken processes, can quietly erode ROI. Understanding these pitfalls early is critical to building automation programs that scale, sustain, and deliver measurable business outcomes. According to industry research, nearly 40–50% of enterprise automation programs stall or underperform due to poor strategy, governance, and execution choices.