This paper highlights that many automation initiatives fall short due to poor planning and intuition-driven execution rather than data-backed approaches. It stresses the need for organizations to adopt a more rigorous, scientific foundation when implementing intelligent automation, recognizing its strategic importance to business outcomes. A key recommendation is to strengthen the planning phase by leveraging data-driven insights. The partnership between EdgeVerve’s process discovery and Minit’s process mining capabilities enables enterprises to gain a deeper, empirical understanding of their operations. By combining detailed process data with broader analytical insights, organizations can identify inefficiencies, improve accuracy, and design lean, high-quality automation solutions that de

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