Title: A framework for using process mining in process discovery and assessment in robotic process automation

Authors: Mohamed A. El-Tanany; Alaa-Eldin Adris; Hebatalla Kaoud

Addresses: The Graduate School of Management of Technology, Nile University, Egypt ' The Graduate School of Management of Technology, Nile University, Egypt ' The Graduate School of Management of Technology, Nile University, Egypt

Abstract: This study explores the impact of process mining on process discovery and assessment in robotic process automation (RPA) using a qualitative, two-phase interview approach. Findings indicate process mining positively enhances accuracy in process discovery due to accurate event logs. However, manual intervention remains crucial, especially for complex processes, as process mining alone is insufficient. A framework was developed to integrate process mining into RPA initiatives, offering a standardised methodology. Only 13 of 63 relevant process metrics are directly attainable with current process mining algorithms, highlighting the limitations of this approach as a sole source. The proposed framework, including a fitness funnel and robotics development lifecycle management, provides a structured, data-driven approach to optimise RPA implementation, resource allocation, and ROI.

Keywords: process mining; robotic process automation; RPA; process discovery and assessment.

DOI: 10.1504/IJBPIM.2025.151622

International Journal of Business Process Integration and Management, 2025 Vol.12 No.4, pp.336 - 350

Received: 23 May 2025
Accepted: 02 Oct 2025
Published online: 10 Feb 2026 *

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