Accounting business processing method and system based on multi-agent

By combining multi-intelligence technology and large language models, we can achieve automated and intelligent processing of accounting business, solve the complexity and data silo problems of traditional accounting systems, provide real-time financial analysis and deep insights, and improve the decision-making efficiency and risk management capabilities of enterprises.

CN120634754APending Publication Date: 2025-09-12QINGDAO UNIV
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Patent Information

Application Number
CN202510732925.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-03
Publication Date
2025-09-12

AI Technical Summary

Technical Problem

Traditional accounting business processes are complex, error-prone, have serious data silos, cannot be updated and analyzed in real time, and lack deep financial insights, which affects corporate decision-making efficiency and risk identification capabilities.

Method used

Adopting a multi-agent-based accounting business processing system, using large language models and multi-agent technology, it realizes automated information collection, account book recognition, risk assessment and decision support, and integrates and analyzes data through OCR technology, deep learning and knowledge graphs to provide real-time financial forecasting and analysis.

Benefits of technology

It improves accounting work efficiency, reduces manual operation errors, realizes real-time data updating and integration, provides in-depth financial insights and accurate decision support, and enhances the company's market responsiveness and risk identification capabilities.

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Abstract

The invention discloses a multi-agent-based accounting business processing method and system. The multi-agent-based accounting business processing method and system comprises the following steps: acquiring a correct invoice number, amount, category, responsible department, principal and the like through the technologies of image acquisition, denoising, enhancement, tilt correction, feature extraction, character correction and the like of an initial voucher; automatically inputting the identified related information into an account book according to the classification of each accounting subject, and generating a total account book and a detail account book; regularly adopting a computer-aided auditing technology, randomly generating a random number according to an importance (such as involved amount or business type risk level) proportion, automatically extracting an account for auditing, and realizing unified calling and checking of an original voucher, a general account book and a detail account book; through integration of deep learning, knowledge graph and other technologies, more complex prediction is realized by using big data, a potential financial trend is identified, detailed risk assessment is carried out, and decision support is provided. The query and scheduling service of the whole business process is realized by using a large language model and adopting a voice interaction mode, unit financial data is preprocessed, and an RAG containing financial statements and related financial knowledge is constructed with related knowledge such as related legal policies, tax policies, financial analysis and bank settlement and is used for retrieval and query, and the financial statement and the related financial knowledge are stored in a database. All modules and execution processes of financial software are fused, and intelligent query and execution based on a large model are achieved.
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