One significant advancement in Online Travel Agency (OTA) technology is the implementation of Artificial Intelligence (AI) for data processing in OTA systems. However, previous research indicates that the adoption of AI in OTAs faces challenges, such as algorithmic bias and data privacy risks. To address these issues, this study aims to analyze eight Critical Success Factors (CSFs) identified in prior research that have been proven to significantly influence the performance of AI project teams in overcoming the challenges associated with AI implementation. Through analysis using DEMATEL and Analytic Network Process (ANP) methods, this study provides an output in the form of an impact digraph that illustrates the interrelationships among CSF indicators and the priority weights of each CSF. The findings reveal that all eight CSFs are interrelated in terms of influence and dependence, with the exception of Knowledge & Skill. The CSFs categorized as causal factors include problem-driven approach, data understanding, and knowledge and skill, while communication, collaboration, top management support, operational agility, and cost-benefit analysis are categorized as effect factors. The top three most critical factors are problem-driven approach with a weight of 0.105, followed by Data Understanding (0.088) and communication (0.074).