A service processing method, apparatus, device, storage medium, and program product

By constructing a three-layer collaborative architecture and optimizing business processes using natural language understanding and resource scheduling models, the problem of low automation in collaboration between intelligent agents and business systems was solved, achieving efficient business processing and process adjustment, and improving the system's flexibility and resource utilization efficiency.

CN122114850APending Publication Date: 2026-05-29中国移动通信集团江西有限公司 +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
中国移动通信集团江西有限公司
Filing Date
2026-02-13
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, the degree of automation in collaboration between intelligent agents and business systems is low, and business processes or process nodes cannot be adjusted, resulting in insufficient system flexibility, inability to cope with rapid changes in user needs, isolated resource scheduling, and low efficiency.

Method used

A three-layer collaborative architecture is constructed, consisting of an intelligent agent application layer, a business orchestration layer, and a basic capability layer. The natural language understanding model is used to parse user intent, generate a sequence of business nodes, and call services of intelligent agents and business systems. Combined with a resource scheduling model and dependency weights, the business process is optimized to achieve efficient collaboration between intelligent agents and business systems.

Benefits of technology

It improves the level of automation in collaboration between intelligent agents and business systems, enables dynamic adjustment of business processes and process nodes, enhances system flexibility and resource scheduling efficiency, and significantly shortens business processing cycles.

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Abstract

The application discloses a business processing method and device, equipment, a storage medium and a program product, and relates to the technical field of business processing. The method comprises the following steps: in the case that a natural language request input by a user is acquired, an intelligent agent application layer analyzes the natural language request according to a natural language understanding model, and generates a user intention; a business arrangement layer generates an initial business node sequence corresponding to the user intention, and obtains a business node sequence according to a processing time corresponding to each business node in the initial business node sequence and a dependency weight between each two business nodes; each business node corresponds to an intelligent agent task or a business system service; the intelligent agent application layer calls an intelligent agent to execute the intelligent agent task corresponding to the business node, and the business arrangement layer and / or a basic capability layer call a business system interface to execute the business system service corresponding to the business node, so that the degree of automation of the cooperation between the intelligent agent and the business system can be improved, and the adjustment of a business process or a process node can be realized.
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