Agentic Artificial Intelligence and Business Transformation: Redefining Intelligent Decision-Making in Modern Enterprises
DOI:
https://doi.org/10.63544/jbii.v5i5.166Keywords:
Agentic Artificial Intelligence, Business Transformation, Intelligent Decision-Making, Organizational Agility, Responsible AI Governance, Technological InnovationAbstract
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.
References
Abou Ali, M., Dornaika, F., & Charafeddine, J. (2026). Agentic AI: A comprehensive survey of architectures, applications, and future directions. Artificial Intelligence Review, 59, 11. https://doi.org/10.1007/s10462-025-11422-4
Acharya, D. B., Kuppan, K., & Divya, B. (2025). Agentic AI: Autonomous intelligence for complex goals—A comprehensive survey. IEEE Access, 13, 18912–18936. https://doi.org/10.1109/ACCESS.2025.108495
Bandi, A., Kongari, B., Naguru, R., Pasnoor, S., & Vilipala, S. V. (2025). The rise of agentic AI: A review of definitions, frameworks, architectures, applications, evaluation metrics, and challenges. Future Internet, 17(9), 404. https://doi.org/10.3390/fi17090404
Carter, M., & Wynne, K. (2024). Human-AI teams: The role of AI in organizational decision-making and team effectiveness. European Management Review. https://doi.org/10.1111/emre.12685
Hosseini, S., & Seilani, H. (2025). The role of agentic AI in shaping a smart future: A systematic review. Array, 26, 100399. https://doi.org/10.1016/j.array.2025.100399
Kumi, S., Lomotey, R. K., & Deters, R. (2025). Governance-as-code: Managing agentic AI with a distributed dual proxy gateway. Procedia Computer Science, 272, 122–130. https://doi.org/10.1016/j.procs.2025.10.187
Manimangalam, P. (2026). From tools to autonomous agents: Rethinking AI-driven business transformation. Proceedings of the AAAI Symposium Series, 8(1). https://doi.org/10.1609/aaaiss.v8i1.42544
Miller, T. (2026). Controlled agentic AI systems: A governance-driven architecture for auditable and reproducible decision pipelines. Machine Learning and Knowledge Extraction, 8(5), 125. https://doi.org/10.3390/make8050125
Nisa, U., Shirazi, M., Saip, M. A., & Pozi, M. S. M. (2026). Agentic AI: The age of reasoning—A review. Journal of Automation and Intelligence, 5(1), 69–89. https://doi.org/10.1016/j.jai.2025.08.003
Oswick, C. (2024). Generative artificial intelligence and organizational studies: Opportunities, challenges, and implications. Journal of Organizational Change Management. https://doi.org/10.1177/00218863241232412
Ranjan, S., Chembachere, D., & Lobo, L. (2025). Agentic AI in enterprise: Harnessing agentic AI for business transformation. Apress. https://doi.org/10.1007/979-8-8688-1542-3
Saidkhujaev, U. (2025). From dashboards to decision-making agents: Integrating agentic AI into business intelligence systems for enterprise transformation. Academia Open, 10(2). https://doi.org/10.21070/acopen.10.2025.11734
Schmitz, C., Rystrøm, J., & Batzner, J. (2025). Oversight structures for agentic AI in public-sector organizations. In Proceedings of the 1st Workshop for Research on Agent Language Models (REALM 2025) (pp. 298–308). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.realm-1.21
Sharma, P., Whig, P., & colleagues. (2025). Agentic artificial intelligence: A systematic review of architectures, capabilities, applications, and open challenges. International Journal of Sustainable Development Through AI, ML and IoT, 4(2).
Silva-Atencio, G. (2025). Quantifying AI autonomy: A multidimensional framework for agentic AI governance and risk assessment. Artificial Intelligence and Applications. https://doi.org/10.47852/bonviewAIA52026694
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Yasir Khalid, Fakhar-e-Alam Khan, Jawaria Nasir

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.