The real estate audit management process within banking institutions has traditionally been classified by manual operations, divided data systems, and ineffective workflows, which increase operational costs and agreement risks. This paper presents a detailed digital transformation structure designed to transform real estate inspection management in the banking sector. Through the combination of new technologies, process mechanization, and data evaluation. This structure addresses serious challenges while improving accuracy, performance, and governance. The suggested model explains how financial institutions can control digital solutions to transform their real estate audit operations from a reactive traditional method to prepared intelligent systems that deliver key benefits. A serious part of the framework is the development of data prediction models that maximize past audit data and market patterns that identify high-risk areas requiring close examination, allowing risk-based audit planning and resource improvement. The combination of location analysis and digital property tracking allows auditors to imagine selection distributions, identify risk exposure, and carry out remote review, particularly reducing field visit needs. The paper presents execution case studies from three global banking institutions that embraced this outline, demonstrating average reductions of 60 percent in audit cycle times, 45 percent decrease in running costs, and large improvements in audit quality scores. Furthermore, the framework's current dashboards and data interpretation improved supervision, allowing faster decision-making and more effective credit risk management. Security and data privacy threats are tackled through secure key management and agreement with data protection directives, including GDPR and local banking secrecy laws. This outline also includes change management methods and training programs to ensure successful acceptance by audit teams traditionally used to guide processes. This research contributes to the growing body of knowledge on digital transformation in banking operations by providing a practical, adaptable structure that can be adjusted to institutions of different sizes and legal structures. The findings show that organized digitalization of real estate audit processes not only delivers operational productivity gains but also strengthens risk management skills that help legal compliance, and positions banking institutions to respond more competently to growing market processes and regulatory needs
Digital Transformation, Real Estate Audit, Banking Institutions, Artificial Intelligence, Process Automation, Risk Management, Regulatory Compliance, Predictive Analytics, Audit Efficiency, Financial Technology.
IRE Journals:
Solomon Odoh "Revolutionizing Real Estate Audit Management: A Digital Transformation Framework for Banking Institutions" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 224-228 https://doi.org/10.64388/IREV9I5-1711759-2976
IEEE:
Solomon Odoh
"Revolutionizing Real Estate Audit Management: A Digital Transformation Framework for Banking Institutions" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1711759-2976