Zhixian Zhang
School of Professional Studies, New York University, New York, NY 10003, USA.
*Corresponding author: Zhixian Zhang
Abstract
This paper studies the service-oriented encapsulation approach of artificial intelligence systems and its application path in supporting data-driven decision-making in real business processes. Specifically focusing on the service-oriented deployment of model capabilities and the collaborative processing mechanism of business data, a technical framework centered on interface encapsulation and data modeling is constructed, with modular components and standardized interaction protocols defining the core architecture, and its operational effectiveness is analyzed in combination with actual business processes. Through systematic evaluation across multiple deployment scenarios, the results show that this encapsulation path is feasible in improving system reusability, decision response efficiency, and business adaptation stability, while also reducing the coupling between model updates and business logic modifications, providing practical references for the construction of intelligent decision support systems in complex business scenarios and offering a scalable blueprint for broader industrial adoption.
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Copyright
© 2026 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
https://creativecommons.org/licenses/by-nc-nd/4.0/
How to cite this paper
Research on Service-oriented Packaging of AI Systems and Data-driven Decision Support for Real-world Business Processes
How to cite this paper: Zhixian Zhang. (2026). Research on Service-oriented Packaging of AI Systems and Data-driven Decision Support for Real-world Business Processes. Engineering Advances, 6(3), 153-157.
DOI: http://dx.doi.org/10.26855/ea.2026.09.004