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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v8i8.13359</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Theory and Practice of Deep Integration of Artificial Intelligence and Business Management</title><url>https://artdesignp.com/journal/PBES/8/8/10.26689/pbes.v8i8.13359</url><author>WengTingKai</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>8</volume><issue>8</issue><history><date date-type="pub"><published-time>2025-12-31</published-time></date></history><abstract>Under the background of information age, the rise of artificial intelligence has injected new vitality into the development of various industries. Based on the actual needs of enterprise operation, this paper deeply explores the deep integration of artificial intelligence and business management, and creates a theoretical framework of technology empowerment, process reengineering and value creation. In the framework, the importance of artificial intelligence technology to market analysis, decision optimization, risk management and control in the process of business management is clearly analyzed. At the same time, combined with cases of various industries, the actual effect of artificial intelligence technology on improving management efficiency and reducing operating costs is verified. In the research, it is found that the integration of the two needs to take into account the technical adaptability and organizational management innovation, which supplements the practical basis for the subsequent theoretical research in related fields.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Wen J, 2024, The Application of Big Data and Artificial Intelligence Technology in Enterprise Financial Management under the Background of Digital Intelligence. Economist, 2024(5): 58–60.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Hu Y, 2024, Application of Artificial Intelligence in Enterprise Economic Management. China Automobile Market, 2024(2): 51–52.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Fu H, 2024, Opportunities and Challenges Brought by Industrial Intelligence to Financial Accounting Transformation Management Accounting. Taxation, 2024(10): 37–39.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Yan X, 2024, The Application of Big Data and Artificial Intelligence Technology in Enterprise Financial Management. Modern Business Research, 2024(4): 8–10.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Ouyang Y, 2023, Analysis of the Application of Artificial Intelligence Technology in Enterprise Human Resource Management. Sichuan Labor and Social Security, 2023(11): 42–43.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
