Directing the Future: Opening AI’s Influence on Business Decision-Making

By: Ankita Manohar Walawalkar, Department of Business Administration, Asia University;


Over the last few years, Artificial Information (AI), particularly has made significant treads, particularly in areas such as deep learning and reinforcement learning. This article highlights areas that need further examination to develop and integrate AI capabilities into business/IT plans, enhancing corporate value ideas. Businesses need to wisely embrace and apply innovative skills, including AI, to flourish in the digital transformation alignment of the modern age. Ethical, legal, and societal fears may arise from the use of AI in business-decisions. The importance of businesses making ethical decisions when they applying AI technologies.


AI impacts on numerous facets, including data-driven decision-making, task automation, better-quality predictive analytics, modified customer experiences, risk management, innovation, and decision-making approaching human judgment. Understanding the influence of AI on human work includes assessing how forecast discussed can improve productivity by allowing riskier selections [1]. However, it’s vital to acknowledge possible result variation. It also highlights the importance of human choice in decision-making, principally when choices dearth a definable objective function. The counterintuitive effects of enhanced prediction on the payoffs related with various forms of decision are highlighted [2].

AI Business Value Drivers and Enhanced Outcomes:

AI is a transformative technology transforming industries and generating significant business value. Strategic flexibility rushes the adoption of digital technology by regrouping and enhancing operational dealings and capabilities. Strategic adaptability helps industries develop effective strategies and necessary capabilities for operation [3]. AI has the potential to boost businesses’ dimensions for examination, exploitation, and operational ambidextrousness. Adaptive alteration capacity helps overcome fences like displeased employees, inflexible decision-makers, and ordinary procedures, supervisory firms in executing well-balanced alteration alignment[4] [2].

Key Impacts of AI on Business Decision-Making:

Fig 1: Key Impacts of AI in Business decision making

  • Enhanced Data-driven Decision Making:
    • AI develops vast data sets in present, revealing patterns and trends for informed, fact-based decision-making [1].
  • Automation of Repetitive Tasks:
    • Robotic process automation (RPA) automates tedious operations, dropping errors and growing operational efficiency [5].
  • Improved Customer Experience:
    • AI-powered chatbots and virtual aides provide real-time, modified customer interactions, enhancing satisfaction [3] .
  • Enhanced Risk Management:
    • AI algorithms examine market data for fraud uncovering, credit risk control, and investment choices, proactively handling risks [2].
  • Optimized Operations and Supply Chain Management:
    • AI enhances processes and supply chain by analysing data on demand, inventory, production, and logistics, important to efficiency and cost decreases [2] .
  • Enhanced Product Development:
    • AI influences product development by analysing customer response, market trends, and data to forecast demand and identify developments [2].
  • Increased Innovation:
    • AI frees up time for innovation by mechanizing tasks like market investigation, product design, and prototyping, fastmoving development cycles[4] [2].
  • Human-like Decision Making:
    • AI, including cognitive calculation and NLP, impersonators human judgment, analysing formless data for insights in areas like customer service, marketing, and new product formation [3].


In the end, the transformative influence of AI on business decision-making is evident across numerous dimensions, including data-driven decision-making, mechanization, customer experience enhancement, risk management, and innovation [2]. Though AI brings unparalleled opportunities for competence and creativity, it also postures trials related to algorithmic bias, data privacy, and job movement. Future research should emphasis on addressing these ethical and legal tasks, exploring the societal impacts of AI on employment, and developing contexts for responsible AI adoption [3]. However, it is vital to admit limitations such as potential biases in AI algorithms, data quality issues, and integration challenges. Prominent a balance between binding AI’s potential and addressing its limits will contribute to a sustainable and ethical AI-driven business landscape [4].


  1. J. Chong, C. Sin, and V. Kathiarayan, “The Role of Artificial Intelligence in Strategic Decision-Making Opportunities, Challenges, and Implications for Managers in the Digital Age,” May 2023.
  2. R. Manivel, “EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE IN BUSINESS DECISION MAKING,” p. 686, May 2023, doi: 10.5281/zenodo.7922977.
  3. R. Gruetzemacher and J. Whittlestone, “The transformative potential of artificial intelligence,” Futures, vol. 135, p. 102884, Jan. 2022, doi: 10.1016/j.futures.2021.102884.
  4. M. C. M. Lee, H. Scheepers, A. K. H. Lui, and E. W. T. Ngai, “The implementation of artificial intelligence in organizations: A systematic literature review,” Inf. Manage., vol. 60, no. 5, p. 103816, Jul. 2023, doi: 10.1016/
  5. “What is Robotic Process Automation (RPA)? | IBM.” Accessed: Mar. 04, 2024. [Online]. Available:

Cite As

Walawalkar A M (2024) Directing the Future: Opening AI’s Influence on Business Decision-Making, Insights2Techinfo, pp.1

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