A systematic scoping review of literature published between 2020 and 2025 using major academic databases suggests an Agentic Ai in Business (AAB) integration model and a taxonomy distinguishing decision-support, semi-autonomous, and fully autonomous systems are proposed.
A validated, practitioner-usable framework for calibrating the degree of AI autonomy granted to decision workflows against the governance capacity of the organization is contributed, and offers implications for management education, internal audit, and enterprise risk functions responsible for overseeing algorithmic de...
P. Amutha, M. Bhuvaneswari· International Journal of Res...· 0 citations
GenAI's current business value is concentrated in augmenting, rather than automating, decision-making, with the strongest evidence for productivity gains among relatively lower-skilled or lower-performing decision-makers, and the mapping of AI capability boundaries within specific decision domains as the central future...
Rajidi Rammohan Reddy, V. Thumar, Amar Jyoti Borah et al.· International journal of com...· 0 citations
The analysis shows that the transition from traditional digital administration to agentic organizations may prove operational efficiency, support data-driven decision-making and enable more adaptive public ser-vices, and highlights the importance of institutional readiness, human-on-the-loop supervision, transparent go...
Roxana Sârbu, Florin Dobre, Ion Pârgaru et al.· New Trends in Sustainable Bu...· 0 citations
A systematic literature review analyzing 111 papers from scientific databases on integrating AI with MCDM/A methods offers both a conceptual consolidation for scholars and a structured foundation for the design of next-generation, human-centered intelligent decision support systems (IDSS).
Bruno Cicciú, E. Frej, A. D. de Almeida· IMA Journal of Management Ma...· 1 citation
This systematic review examines how artificial intelligence can support strategic decision-making in private universities, the organizational conditions shaping its value, and the governance and implementation risks that constrain responsible use and identifies four interconnected roles of AI: environmental intelligenc...
Yun-Dong Wu, Wei-Jian Kong· Artificial Intelligence in E...· 0 citations
The study found that with responsible governance and human oversight, Agentic AI can enhance intelligent decision-making, operational efficiency, organizational agility, and business transformation in today's businesses.
Y. Khalid, Fakhar-e-Alam Khan, Jawaria Nasir· 0 citations
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