International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 2 (March-April 2025) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 2
March-April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

AI-Driven Operational Efficiency Optimization in Insurance: A Technical Implementation Guide

Author(s) Chetan Prakash Ratnawat
Country United States
Abstract This comprehensive article explores the transformative impact of Artificial Intelligence on operational
efficiency in the insurance industry, focusing on implementing AI-driven solutions across underwriting,
claims processing, and agent management functions. The article examines how modern AI architectures
address traditional operational challenges through intelligent workflow analysis, process automation, and
resource optimization. The article demonstrates substantial improvements in operational efficiency,
customer satisfaction, and cost reduction by analyzing implementation cases across various insurance
organizations. The article covers key technological components, including artificial intelligence engines,
machine learning modules, natural language processing capabilities, and robotic process automation,
while highlighting their collective contribution to enhanced insurance operations. The article presents
evidence-based insights into performance improvements achieved through AI implementation. It offers
insurance organizations a strategic framework for leveraging these technologies to enhance their
operational capabilities and maintain competitive advantage in an increasingly dynamic market
environment.
Keywords Insurance Digital Transformation, AI-Driven Process Optimization, Insurance Analytics Systems, Automated Underwriting Solutions, Predictive Insurance Technologies
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-22
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.33609
Short DOI https://doi.org/g8w2x3
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 2Cover Page Vol 7 Isu 1Cover Page Vol 6 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com