Artificial Intelligence in Business Decision-Making: A Comprehensive Review

Authors

  • Dr Pushparani MK Associate professor, Dept. of CSD, Alvas Institute of Engg. & Tech., Mijar, Karnataka, India. Author
  • Vishal Srinivas Kalikar UG Scholar, Dept. of CSD, Alvas Institute of Engg. & Tech., Mijar, Karnataka, India Author
  • Hardhik Shetty UG Scholar, Dept. of CSD, Alvas Institute of Engg. & Tech., Mijar, Karnataka, India Author
  • Vinodkumar Biradar UG Scholar, Dept. of CSD, Alvas Institute of Engg. & Tech., Mijar, Karnataka, India Author
  • Likith G UG Scholar, Dept. of CSD, Alvas Institute of Engg. & Tech., Mijar, Karnataka, India Author

DOI:

https://doi.org/10.47392/IRJAEM.2025.0323

Keywords:

Artificial Intelligence, Business Decision-Making, Machine Learning, Predictive Analytics, Ethical AI

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in business decision-making, enabling organizations to process vast datasets, generate actionable insights, and optimize strategic choices. This review paper systematically examines the role of AI in modern business decision-making processes by analyzing its applications, benefits, challenges, and future directions. The study highlights key AI technologies—including machine learning, natural language processing, and robotic process automation—and their deployment across finance, marketing, operations, and human resources. Furthermore, it presents empirical case studies, evaluates technical and ethical considerations, and compares AI-driven decision-making with traditional methods. The findings suggest that while AI enhances efficiency, accuracy, and scalability, challenges such as data bias, transparency, and integration barriers must be addressed. The paper concludes with strategic recommendations for businesses seeking to leverage AI effectively while mitigating risks.

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Published

2025-05-24