Agentic Multi-Agent AI Framework for Autonomous Smart Home Service Orchestration and Ethical Decision-Making

DOI

10.2991/978-94-6239-678-4_41How to use a DOI?

Keywords

Agentic AI; Smart Home Automation; Multi-Agent System; Natural Language Processing; Service Management; LangChain; Autonomous Booking; AI Agents; Flask Framework; Home Service Platform

Abstract

Homes service management in the modern cities is often characterized by users needing to compare, search manually and book service providers such as plumbers, electricians and cleaners. This is not very fast and is normally time consuming effective and does not utilize automation much even though the progress in artificial intelligence and smart house technologies. This study offers a solution to this problem. Smart Home Service Management AI Agentic Framework is made to manage the entire service lifecycle but automatically, out of knowing what the user wants to service requests scheduling and tracking. The model uses to analyse user requests, Natural Language Processing (NLP) which are frequently in natural language and obtain important details such as type of service, date desired, and time. These processed details is then an extracted detail which is processed by a multi-agent system which has three specialized agents, a Booking Agent that finds and appoints at hand service providers, a Negotiation Agent which manages the optimization of costs and timeframes and a Monitoring Confirmation agent that verifies the bookings and makes them real time updates on the status. It is created on the Python, Flask system and LangChain and it operates on an SQL database effective data control and access. The result is a simulated prototype which enables the user to book home services simply by the use of natural language commands. This approach shows how autonomous task coordination and agentic reasoning can enhance user experience, reduce manual work, and establish the stage intelligent self-operating smart home. In the future it is possible to extend the system to include IoT, voice assistant, and blockchain-based payment mechanisms that allow security, transparency and complete automation in home service operations.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sanket Dalvi
AU  - Ayesha Butalia
AU  - Simran Ahuja
PY  - 2026
DA  - 2026/05/28
TI  - Agentic Multi-Agent AI Framework for Autonomous Smart Home Service Orchestration and Ethical Decision-Making
BT  - Proceedings of the 2nd International Conference on Recent Advancement and Modernization in Sustainable Intelligent Technologies & Applications (RAMSITA-2026)
PB  - Atlantis Press
SP  - 515
EP  - 528
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-678-4_41
DO  - 10.2991/978-94-6239-678-4_41
ID  - Dalvi2026
ER  -