Using AI as a Disconfirmation Engine in Entrepreneurial Decision-Making: The A.D.A.P.T Framework

Author(s)	Ms. Athmika S
Country	India
Abstract	Entrepreneurial decision-making under genuine uncertainty remains a critical challenge, as neither artificial intelligence nor human judgment alone provides a sufficient response. This paper examines how their structured integration, within the context of Industry 5.0, can address this gap. While existing literature shows that AI excels in structured settings and that human-AI collaboration is effective, it fails to define how decision-making responsibilities should be distributed under highly unpredictable conditions and often treats human cognitive limitations in isolation. This study adopts a qualitative conceptual approach using secondary data from peer-reviewed articles, analysed through thematic synthesis. It proposes the A.D.A.P.T. (Adversarial Decision and Planning Technique) framework, which improves decision-making by using AI to disconfirm assumptions rather than validate them. The framework extends behavioural decision theory and effectuation theory, offering a practical tool for low-risk experimentation and positioning AI as a disconfirmation engine.
Keywords	Entrepreneurship, Decision-Making, Uncertainty, Artificial Intelligence (AI), Human Judgment, Human-AI Collaboration, Industry 5.0, Effectuation
Field	Business Administration
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-26
DOI	https://doi.org/10.36948/ijfmr.2026.v08i03.79476

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