跨业务系统智能问答与流程自动化方法及系统
By constructing a business entity relationship graph and using graph analysis technology, the problem that AI assistants cannot perform intelligent question answering and process automation across multiple business systems in existing technologies has been solved. This enables dynamic risk perception and reliable automated decision-making, thereby improving the reliability and security of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHAANXI YULIN ENERGY GRP CO LTD
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing AI assistants cannot effectively perform intelligent question answering and reliable process automation across multiple business systems. They lack a deep understanding of the enterprise's overall business logic and cannot dynamically assess the risks of automated operations, resulting in limitations on their level of intelligence and application scope.
By statically parsing source code to construct a business entity relationship graph, calculating structural compactness and semantic consistency index, generating time-series curves of user interaction and business results, analyzing the dynamic characteristics of impact response, calculating performance degradation and structural friction coefficient, generating early warning and handling measures, and realizing dynamic risk perception and reliable automated decision-making.
It achieves a leap from static rule execution to dynamic risk perception, enabling differentiated decisions during cross-system operations, improving the reliability and security of automated processes, providing a data-driven system health diagnosis and optimization mechanism, and accurately improving the cohesion and availability of underlying business systems.
Smart Images
Figure CN122153017B_ABST