Tomer, AbhinavAbhinavTomerParmar, AradhanaAradhanaParmarRathore, BhupeshBhupeshRathoreVijayvergia, NavenduNavenduVijayvergiaGoel, RahulRahulGoelPundir, Dhannjay SinghDhannjay SinghPundirBale, Ajay SudhirAjay SudhirBaleSavadatti, Mamta BMamta BSavadatti2025-03-212025-03-212024Vol. 44, No. 3; pp. 10640-106490970-10522320-317Xhttps://bpasjournals.com/library-science/index.php/journal/article/view/2306https://gnanaganga.alliance.edu.in/handle/123456789/4434Technological breakthroughs in artificial intelligence (AI) facilitate the creation of human-like computers capable of autonomous operation and the imitation of cognitive behaviour. The enthusiasm and advancement among managers, scholars, and the general populace have generated considerable excitement across various sectors, prompting several organisations to spend significantly in leveraging technologies via business model innovation (BIM). Managers get less help from academics while attempting to integrate AI into their firm's operations, resulting in a heightened chance of unsuccessful projects and undesirable outcomes. This research seeks to elucidate AI's role as a driver for BIM. Technological improvements and developments in AI research have generated greater curiosity across many sectors and companies. Nonetheless, inadequate comprehension of the use of AI deployment results in restricted commercial benefits. This article aims to enhance comprehension of AI deployment by examining studies in AI, BMI, and digitisation. © 2024, BPAS Publications. All rights reserved.AiBusinessEthicsLegalManagementRegulationArticle