Generative AI in Insurance: Automating Claims Documentation and Customer Communication

Main Article Content

Keerthi Amistapuram

Abstract

Within risk management strategies, genuine losses incurred from perils in primary perils are routine but dispropor- tionate, resulting in claims that impact organizational effort and cost. Expanding business lines beyond simply on-lending deposits is key to returning the enterprise to profitability. Reducing annual customer complaints and retentions show institutions that priori- tize customer service and have proactive Mitigants on their watch list are invariably rewarded by lower claims. Current and recent developments in the finance, technology and insurance sectors have combined to allow possible associations between these areas. New services offered by local Insurers, Market Shortfalls with Private Equity funds and Corporate Private Banks, Increasing Consumer Demand and the introduction of Weather Money to address Private Pine interventions have highlighted a trend of increasing risk severity. Such increasing risk severity has the potential to develop a property risk and make allowance for a worsening of insurance coverage conditions.

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How to Cite
Amistapuram, K. (2025). Generative AI in Insurance: Automating Claims Documentation and Customer Communication. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 15(3), 461–475. https://doi.org/10.61841/turcomat.v15i3.15474
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References

[1] Accenture. (2024). AI and the future of insurance operations. Accenture Insights

[2] Paleti, S., Mashetty, S., Challa, S. R., ADUSUPALLI, B., & Singireddy,

J. (2024). Intelligent Technologies for Modern Financial Ecosystems: Transforming Housing Finance. Risk Management, and Advisory Ser- vices Through Advanced Analytics and Secure Cloud Solutions. Risk Management, and Advisory Services Through Advanced Analytics and Secure Cloud Solutions (July 02, 2024).

[3] Aflac. (2024). Aflac introduces AI-powered chatbot to enhance claims experience. Aflac Newsroom.

[4] Allianz Global Corporate & Specialty. (2024). Emerging AI risks in underwriting and claims. Allianz Risk Barometer.

[5] Bain & Company. (2024). Generative AI in financial services: From hype to high impact. Bain Insights.

[6] Koppolu, H. K. R., & Sheelam, G. K. (2024). Machine Learning- Driven Optimization in 6G Telecommunications: The Role of Intelligent Wireless and Semiconductor Innovation. Global Research Development (GRD) ISSN: 2455-5703, 9(12).

[7] Bloomberg Intelligence. (2024). Generative AI to reshape insurance workflows by 2030. Bloomberg Tech Report.

[8] Chubb. (2024). Chubb Chat: Generative AI for policyholder interaction. Chubb Press Release.

[9] Deloitte. (2024). The state of generative AI in insurance 2024: Reimag- ining customer journeys. Deloitte Insights.

[10] Challa, S. R., Challa, K., Lakkarasu, P., Sriram, H. K., & Adusupalli,

B. (2024). Strategic Financial Growth: Strengthening Investment Man- agement, Secure Transactions, and Risk Protection in the Digital Era. Journal of Artificial Intelligence and Big Data Disciplines, 1(1), 97-108.

[11] EY. (2024). Reinventing claims management with generative AI. EY Financial Services Report.

[12] Forrester Research. (2024). Generative AI in customer engagement: The new frontier of automation. Forrester Insights.

[13] Gartner. (2024). Top insurance technology trends for 2024: Generative AI and automation. Gartner Research.

[14] Yellanki, S. K. (2024). Leveraging Deep Learning and Neural Networks for Real-Time Crop Monitoring in Smart Agricultural Systems. Ameri- can Data Science Journal for Advanced Computations (ADSJAC) ISSN: 3067-4166, 2(1).

[15] Google Cloud. (2024). Responsible AI for insurers: Ensuring fairness and trust. Google Cloud AI Report.

[16] IBM Institute for Business Value. (2024). Trustworthy generative AI in financial services. IBM IBV Report.

[17] Insurance Information Institute. (2024). AI adoption in claims handling: 2024 outlook. III Research Report.

[18] Motamary, S. (2024). Transforming Customer Experience in Telecom: Agentic AI-Driven BSS Solutions for Hyper-Personalized Service De- livery. Available at SSRN 5240126.

[19] KPMG. (2024). Generative AI and the new insurance ecosystem. KPMG Global Insights.

[20] Lloyd’s of London. (2024). AI and automation in claims management: A market perspective. Lloyd’s Report Series.

[21] McKinsey & Company. (2024). The economic impact of generative AI in insurance. McKinsey Global Institute.

[22] Inala, R., & Somu, B. (2024). Agentic AI in Retail Banking: Redefining Customer Service and Financial Decision-Making. Journal of Artificial Intelligence and Big Data Disciplines, 1(1).

[23] Microsoft. (2024). Azure OpenAI and the future of insurance workflows. Microsoft Industry Blog.

[24] Munich Re. (2024). Ethical AI and reinsurance: Managing algorithmic risk. Munich Re Insight Report.

[25] OECD. (2024). AI governance frameworks for insurance and finance. OECD Digital Economy Papers.

[26] Pandiri, L., & Chitta, S. (2024). Machine Learning-Powered Actuarial Science: Revolutionizing Underwriting and Policy Pricing for Enhanced Predictive Analytics in Life and Health Insurance.

[27] OpenAI. (2024). GPT-4 Turbo in enterprise: Building trust in generative systems. OpenAI Technical Overview.

[28] PwC. (2024). Transforming insurance claims through AI-powered au- tomation. PwC Financial Services Review.

[29] Nandan, B. P. (2024). Revolutionizing Semiconductor Chip Design through Generative AI and Reinforcement Learning: A Novel Approach to Mask Patterning and Resolution Enhancement. International Journal of Medical Toxicology and Legal Medicine, 27(5), 759-772.

[30] Reuters. (2024). Global insurers deploy generative AI to cut claim times. Reuters Technology News.

[31] Salesforce. (2024). The generative AI insurance customer report 2024. Salesforce Research.

[32] Swiss Re Institute. (2024). Generative AI and insurance: Data, ethics, and governance. Swiss Re Insights.

[33] Agentic AI in Data Pipelines: Self OptimizingSystems for Continuous Data Quality, Performance,and Governance. (2024). American Data Science Journal for Advanced Computations (ADSJAC) ISSN: 3067- 4166, 2(1). https://adsjac.com/index.php/adsjac/article/view/23

[34] Travelers Insurance. (2024). Customer personalization with generative AI systems. Travelers Press Release.

[35] Inala, R., & Somu, B. (2024). Agentic AI in Retail Banking: Redefining Customer Service and Financial Decision-Making. Journal of Artificial Intelligence and Big Data Disciplines, 1(1).

[36] United Nations Conference on Trade and Development (UNCTAD). (2024). AI, regulation, and consumer protection in financial services. UNCTAD Digital Policy Series.

[37] World Economic Forum. (2024). Generative AI and the future of insurance resilience. WEF Insight Report.

[38] Meda, R. (2024). Predictive Maintenance of Spray Equipment Using Machine Learning in Paint Application Services. European Data Science Journal (EDSJ) p-ISSN 3050-9572 en e-ISSN 3050-9580, 2(1).

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