## 4 Model (SIRAI)  
### Proposal for a Model (SIRAI)  
This study proposes an innovative model designed to optimize the integration of Artificial Intelligence (AI) and Robotic Process Automation (RPA) technologies within organizations, while also considering the social and environmental impacts of these implementations. The primary objective of the model is to provide a structured approach that not only enhances operational efficiency but also ensures that the adoption of these technologies is carried out responsibly and sustainably. This model is intended to serve as a practical guide for organizations seeking to implement AI and RPA technologies. It leads companies through a process of readiness assessment, technological integration, and classification of the resulting impacts. The proposal aims to balance the pursuit of efficiency with social and environmental responsibility, reflecting the increasing demand for sustainable business practices in the contemporary digital landscape. The proposed model is named SIRAI (Sustainable Integration of RPA and AI), clearly encapsulating its core focus. The acronym highlights the emphasis on the sustainable integration of Robotic Process Automation (RPA) and Artificial Intelligence (AI), striving to balance operational efficiency with social and environmental responsibility. The name underscores the model's objective of guiding organizations in the adoption of these technologies in a sustainable, ethical, and innovative manner, while considering the social and ecological impacts of their implementation. The operation of the model is divided into several stages, as illustrated in Figure 2.  
Below, the operation of the model (SIRAI) will be explained at each of the different stages:  
1. Technology Needs Assessment: Initially, the model evaluates whether the process in question requires the implementation of RPA or AI. 2. Organizational Readiness: Once the necessary technologies have been identified, the model assesses the organization's readiness to integrate these technologies. A table will be presented with technical and cultural limitations (Tables 4 and 5). 3. Operational Efficiency: After assessing readiness, the model examines whether the organization's technological resources are being optimized. This evaluation can be based on predefined metrics, which include, but are not limited to (Table 6):
4. Identification and Classification of Impacts: The model also emphasizes the importance of identifying and classifying the social and environmental impacts resulting from the adoption of AI and RPA. This includes a framework that lists potential impacts, categorized as social and environmental, and classified as either positive or negative (Table 7). How to Identify and Classify Impacts:  
* Evaluation Methods: Use questionnaires and interviews with stakeholders to gather information on the perception of social and environmental impacts. * Data Analysis: Monitor and analyze operational data to identify significant changes in social and environmental indicators. * External Consulting: Consider hiring sustainability experts to conduct independent audits. 5. Ethical Considerations: Finally, the model incorporates an assessment of the current privacy and cybersecurity standards. Organizations should be questioned regarding their compliance with relevant regulations and the implementation of appropriate security measures (Table 8). Implementation of Security Measures:
* Regular Training: Promote ongoing training for the team on information security practices. Figure 2: Flow diagram of proposal for a sustainable model (SIRAI). * Security Technology: Invest in software and tools that ensure data and system protection. * Continuous Monitoring: Establish a monitoring system to identify and respond quickly to security incidents.