Background and Objective: With the advent of the era of digital transformation and the penetration of artificial intelligence in management structures, organizations need new models that, in addition to technological efficiency, are aligned with value and indigenous principles. This article aims to design a model of artificial intelligence applications in the country's state organization for registering documents and real estate.
Methodology: The present study is developmental-applied in terms of its purpose and mixed (qualitative-quantitative) in terms of the nature of the data. In the qualitative step, using content analysis and semi-structured interviews with 17 experts Based on the rule of "theoretical saturation", seven key areas of artificial intelligence capability in the organization were identified. In the quantitative step, using a researcher-made questionnaire and structural equation modeling (PLS-SEM), prioritization and validation of the areas were carried out.
Findings: The findings show that the most important applications of artificial intelligence in the Iranian Organization for Registration of Deeds and Properties are, respectively: (1) a system for detecting and preventing document forgery, (2) an intelligent signature and fingerprint matching engine, (3) an automatic information extraction system from image documents using natural language processing and advanced optical character recognition (OCR), (4) a transactions risk rating system, (5) an intelligent chatbot for registration services, (6) a staff violation monitoring and warning system, and (7) a tool for predicting services workload and optimal resource allocation.
Conclusion: Finally, the proposed technical architecture and implementation challenges (including privacy, data integrity, and user acceptance) are presented. This research shows that the gradual implementing of AI-based systems can increase accuracy by 94%, reduce document processing time by 76%, and reduce human errors by 89%.