AI-Driven Business Intelligence for Business Process Optimization and Alternative Dispute Resolution; “A Concise Literature Review”

Vineet Kumar; Krishan Kumar Garg

doi:10.36948/ijfmr.2025.v07i06.63089

AI-Driven Business Intelligence for Business Process Optimization and Alternative Dispute Resolution; “A Concise Literature Review”

Author(s)	Mr. Vineet Kumar, Dr. Krishan Kumar Garg
Country	India
Abstract	Abstract In today’s fast growing digitalized world, modern business has emerged with digital innovation and advance management tools, with the development of Artificial Intelligence (AI) in the such an era Business are becoming more Advance, Business Intelligent and much aware with AI tools and Machine Learning parameters. However, with Globalization the business are not limited to a certain geographical indexes but have expanded to a vast scope of potential. With the vast amount of data floating, data management and handling such an information carrying data with lightning speed was a challenge in traditional methods of conducting business and making decisions. However, with the avalanche of AI and Business Intelligence tools business can now make automated decisions and predict any future needs and demands based upon the historical data and logical analysis. AI’s potential is not limited to certain area and prospects, as with the growth of Neural Network AI can not only brings innovation in business process management (BPM) but can also be used to act as mediator or an arbitrator to resolve conflicts in case of business dispute resolution. However there is still a challenge that can be seen as these two fields which is AI in Business Process Management (BPM) and AI in Alternative Dispute Resolution (ADR) still remains individual entities and in business scenario these two never crosses path. Since businesses are now growing with much faster pace and several joint businesses emerges with the needs of Mergers and Acquisition’s to fulfil big business tasks. There is always a chance of dispute that can emerge amongst the entities and resolving it with the traditional legal way is very time consuming and costly. Therefore there is a need of an intelligent adoptable system which is driven by emerging business complexities and challenges of legal compliances faced by modern organizations. This review of literature primarily focuses on integration of AI driven Business Intelligence in Business Process Optimization (BPO) and Resolving conflict with Alternative Dispute Resolution (ADR) targeting operational optimization and decision automation. The study summarizes the literature on AI in BPM and AI in ADR together and tries to find out research gap in previous studies along with-it the study tries to find out possibilities of integration of both BPM and ADR with AI based business intelligent systems. This study explores how AI-Technologies like Natural Language Processing (NLP), Machine Learning (ML) and predictive analysis are being used to improve workflow efficiency, decision making and resolving conflict in Business Management Optimization (BPO). Moreover the study explores limitations and ethical constraints that need to be taken into considerations while creating such system to eliminate biasness from AI “Black Box” systems. Drawn based upon the earlier studies by Davenport (2018), Panda et al.,(2021) and Katash & Robinovich-Einy (2017) the study outlines the process by which AI improves performance, consistency and transparency in both legal and business management fields. In addition case studies like LawConnect (Beck, 2023) and LLMediator (Westermann el at., 2023) shows practical use of AI assisted tools for legal consulting and assisting mediation procedures. The study concludes that; “while AI has the ability to improve business processes and assist mediation procedures there is a need to integrate both legal and management aspects together for analysing, predicting and resolving business difficulties” which is necessary for creating an ethical structure termed as Machine-Human Hybrid (MHH). Such structures will provide openness, transparency and decisions with human sentiments for effective control on business procedures, reducing time and cost. Therefore in order to create a sustainable and data driven decision systems with human cognition, AI in business and conflict resolution has to move from “Limited Machine Procedures” to an adoptive ecosystem. Such system follows responsible technology adoption, with management strategies which are free from biasness and are ethical, transparent and legally innovative.
Keywords	Artificial Intelligence (AI), Digital transformation, Business Intelligence(BI), Business Process Management (BPM), Business Process Optimization (BPO), Alternative Dispute Resolution (ADR), Decision Automation, Predictive Analytics, Machine Learning (ML), Natural Language Processing (NLP), Machine Assisted Legal Reasoning, Workflow Optimization, Conflict Resolution, Legal Decision Making, Corporate Intelligence, Performance Consistency, Human Oversight, Machine –Human Hybrid (MHH), Responsible Technology Adoption.
Field	Business Administration
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-11
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.63089

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AI-Driven Business Intelligence for Business Process Optimization and Alternative Dispute Resolution; “A Concise Literature Review”

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