Abstract: Managing properties is a job. It means taking care of property records and talking to tenants. You also have to deal with maintenance requests and keep track of rent payments. People usually do these things by hand using phone calls or simple computer programs. This can cause problems, like delays and mistakes in the records. It also gives property owners and managers a lot work to do.

Property management needs a system. This system should be easy to use and make things simpler for everyone involved in property management. Property management tasks should not be so hard. Property management can be made easier, with a system.

This paper is, about a Property Service Agent that uses Agentic Artificial Intelligence. It helps people manage things related to their property by talking to it. The system lets tenants and property owners ask about their property check if it is available tell someone about problems that need to be fixed and update information using language. The Property Service Agent knows what the user wants. Does what is needed behind the scenes in a safe and controlled way. The Property Service Agent makes it easy for users to get things done.

The system is designed using a modular architecture that includes a conversational interface, an agentic AI layer, backend services, and a database for storing property information. Experimental results show that the system improves ease of use, reduces manual effort, and provides timely responses compared to traditional property management approaches. The proposed solution demonstrates how conversational and agent-based AI can be effectively used to enhance property management systems.

Keywords: Property Service Agent, Agentic Artificial Intelligence, Property Management System, Conversational Interface, Intelligent Automation.


Downloads: PDF | DOI: 10.17148/IARJSET.2025.121245

How to Cite:

[1] Likhitha D S, Sinchana Nagaraj, Kaushal M, "Property Service Agent: An AI-Driven Conversational System for Smart Property Management," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.121245

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