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<PublisherName>theaimsjournal</PublisherName>
<JournalTitle>Allana Management Journal of Research, Pune</JournalTitle>
<PISSN> 2581 - 3137 (</PISSN>
<EISSN>) 2231 - 0290 (Print)</EISSN>
<Volume-Issue>Volume 15, Issue 2</Volume-Issue>
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<IssueTopic>Multidisciplinary</IssueTopic>
<IssueLanguage>English</IssueLanguage>
<Season>July 2025 - Dec 2025</Season>
<SpecialIssue>N</SpecialIssue>
<SupplementaryIssue>N</SupplementaryIssue>
<IssueOA>Y</IssueOA>
<PubDate>
<Year>2025</Year>
<Month>07</Month>
<Day>26</Day>
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<ArticleType>General Management</ArticleType>
<ArticleTitle>EXPLORING THE ROLE OF ARTIFICIAL INTELLIGENCE IN INDIA’S INSURANCE SECTOR</ArticleTitle>
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<ArticleLanguage>English</ArticleLanguage>
<ArticleOA>Y</ArticleOA>
<FirstPage>13</FirstPage>
<LastPage>19</LastPage>
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<Author>
<FirstName/>
<LastName>Shaikh</LastName>
<AuthorLanguage>English</AuthorLanguage>
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<DOI>https://doi.org/10.62223/AMJR.2025.150202</DOI>
<Abstract>Artificial Intelligence (AI) is rapidly transforming industries across the globe, and the insurance sector in India is no exception. With its ability to streamline processes, enhance decision-making, and personalize customer interactions, AI presents a new frontier for innovation and efficiency. In India’s dynamic and highly competitive insurance market, the adoption of AI is gaining momentum. This paper delves into the potential of AI to disrupt traditional insurance practices, focusing on operational efficiency, customer experience, and innovation. By examining secondary data from academic and industry sources, it explores both opportunities and challenges associated with AI integration. The findings aim to inform future strategies for stakeholders navigating this evolving technological landscape.
Purpose: This paper explores the potential disruptive impact of artificial intelligence (AI) on the insurance sector in India, focusing on its implications for operational efficiency (OE), the customer experience (CE), and the overall innovation within the insurance industry (I). This investigation seeks to identify potential opportunities and challenges associated with the increasing reliance on AI in this fast-evolving marketplace.
Design/Methodology/Approach: This paper takes a qualitative approach that entails a conceptual analysis of secondary data obtained from academic journals, industry reports, and case studies. The overall aim is to analyse AI depending on operations while discussing its relevance to the context of India.
Findings: AI__ampersandsign#39;s disruption is increasing underwriting, claims processing, fraud detection, and customer engagement in the Indian insurance sector, however, problems such as privacy and regulatory grey areas, alongside skills shortages must include for organizations to harness fully the power of AI and its possible functionalities.
Research Limitations/Implications: This paper contains secondary data which may not reflect the most current development in this industry, future researchers would be able to undertake primary studies and longitudinal studies to better inform future thinking.
Practical Implications: The study provides actionable insights into AI for insurers, policymakers, and technology developers around the suitability of the strategic development of AI and trading off for ethical and regulatory work on AI.
Originality/Value: This paper offers a specific analysis of AI__ampersandsign#39;s contributions in India’s insurance sector, a relatively unexplored but significantly growing area, and adds to the literature on technology-driven transformation in emerging markets.</Abstract>
<AbstractLanguage>English</AbstractLanguage>
<Keywords>Artificial Intelligence, Machine Learning, Insurance sector, India, Operational efficiency, Customer experience, Data privacy</Keywords>
<URLs>
<Abstract>https://www.theaimsjournal.org/ubijournal-v1copy/journals/abstract.php?article_id=15869&title=EXPLORING THE ROLE OF ARTIFICIAL INTELLIGENCE IN INDIA’S INSURANCE SECTOR</Abstract>
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<References>
<ReferencesarticleTitle>References</ReferencesarticleTitle>
<ReferencesfirstPage>16</ReferencesfirstPage>
<ReferenceslastPage>19</ReferenceslastPage>
<References>Bajaj Allianz General Insurance. (2024). Annual report 2023–24. Mumbai: Bajaj Allianz.
Deloitte India. (2024). AI in insurance: Transforming the future. New Delhi: Deloitte.
Gupta, R., and; Singh, P. (2022). AI-driven micro-insurance: Opportunities for rural India. Journal of Financial Technology, 8(3), 45–60.
ICICI Lombard. (2023). Case study: AI-powered customer engagement. Mumbai: ICICI Lombard.
Insurance Regulatory and Development Authority of India (IRDAI). (2024). Annual report 2023–24. Hyderabad: IRDAI.
Joshi, S., and; Patel, M. (2024). Ethical challenges in AI adoption in Indian insurance. Journal of Business Ethics, 12(4), 78–92.
McKinsey and; Company. (2023). AI in insurance: Global trends and perspectives. Mumbai: McKinsey.
Ministry of Electronics and Information Technology. (2023). Digital India: Progress report. New Delhi: Government of India.
Nasscom. (2023). AI skills gap in India: Challenges and opportunities. New Delhi: Nasscom.
PwC India. (2023). Fraud detection in insurance: The digital advantage. New Delhi: PwC.
Rao, V., and; Malhotra, S. (2022). Data privacy in AI-driven insurance: Challenges in India. Journal of Data Protection, 10(1), 15–28.
Sharma, R., and; Aggarwal, N. (2022). AI in Indian insurance: Opportunities and challenges. Journal of Insurance Research, 9(4), 56–70.</References>
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