Agentic Artificial Intelligence and Business Transformation: Redefining Intelligent Decision-Making in Modern Enterprises

Authors

  • Yasir Khalid PhD Scholar, TQM, Institute of Quality and Technology Management, The University of Punjab, Lahore, Pakistan
  • Fakhar-e-Alam Khan Junior Programmer, OGDCL - Oil & Gas Development Company Limited, Pakistan
  • Jawaria Nasir Lecturer, Department of Statistics, Federal Urdu University Arts Science and Technology, Karachi

DOI:

https://doi.org/10.63544/jbii.v5i5.166

Keywords:

Agentic Artificial Intelligence, Business Transformation, Intelligent Decision-Making, Organizational Agility, Responsible AI Governance, Technological Innovation

Abstract

Agentic Artificial Intelligence (AI) is becoming a gamechanger, empowering businesses to engage in autonomous reasoning, goal-driven actions, adaptive learning, and real-time information processing. This study aimed to detail how Agentic AI influences intelligent decision-making in today's businesses, and to explore business transformation, operational efficiency, organizational agility and responsible AI governance. A quantitative cross-sectional research design was used, and data were gathered from 300 business professionals, managers, executives and employees having a positive attitude towards technology using a structured questionnaire with 5-point Likert scale. Descriptive statistics, reliability analysis, Pearson correlation and multiple regression were used to analyse the data. High perceptions of Agentic AI capability (M = 4.18, SD = 0.61) and intelligent decision making (M = 4.24, SD = 0.57) were found. The correlation of Agentic AI with intelligent decision-making and business transformation were very positive, with r values of 0.71 and 0.74 each, respectively, and both with p values below 0.001. The results of regression analysis revealed that Agentic AI significantly predicted intelligent decision making (β = 0.71, R² = 0.504, p < 0.001) and business transformation (β = 0.74, R² = 0.548, p < 0.001). Goal-Oriented Execution was the strongest dimension of Agentic AI that was significantly linked to business transformation (β = 0.29, p < 0.001). The study found that with responsible governance and human oversight, Agentic AI can enhance intelligent decision-making, operational efficiency, organizational agility, and business transformation.

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Author Biographies

Yasir Khalid, PhD Scholar, TQM, Institute of Quality and Technology Management, The University of Punjab, Lahore, Pakistan

Fakhar-e-Alam Khan, Junior Programmer, OGDCL - Oil & Gas Development Company Limited, Pakistan

Jawaria Nasir, Lecturer, Department of Statistics, Federal Urdu University Arts Science and Technology, Karachi

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Published

2026-05-16

How to Cite

Khalid, Y., Khan, F.- e-A., & Nasir, J. (2026). Agentic Artificial Intelligence and Business Transformation: Redefining Intelligent Decision-Making in Modern Enterprises. Journal of Business Insight and Innovation, 5(5), 80–90. https://doi.org/10.63544/jbii.v5i5.166

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