Abstract

Context: Eliciting business processes is critical for understanding and optimizing organizational workflows. This study examines methodologies, tools, and techniques that aim to enhance the accuracy and reliability of process modeling while addressing challenges such as inconsistent data and the lack of standards for unstructured processes. Objectives: The primary goal is to identify and classify approaches and techniques used in process elicitation, categorizing them into key areas and assessing their impact on continuous improvement in organizations. Methodology: A systematic mapping was conducted to review existing literature, classifying selected studies into methodologies, modeling tools, and automation frameworks. Current trends and gaps in the field were also analyzed. Results: The study highlights the growing adoption of tools such as BPMN, collaborative approaches, and advanced technologies to address data inconsistencies. The findings emphasize the importance of integrating interdisciplinary approaches and adaptive tools to align with dynamic business environments. This work lays the groundwork for further research to enhance organizational process elicitation practices. Future work: Future research should explore the implementation of emerging technologies, such as artificial intelligence and big data analytics, to further automate process elicitation. Additionally, evaluating the effectiveness of collaborative approaches across diverse industries and analyzing the impact of tool customization in specific contexts is recommended to ensure scalability and efficiency. Ensure that your abstract reads well and is grammatically correct.