Hybrid Strategic Decision-Making: The Synergy Between Expert Judgment and AI System Recommendations

The study examines the transformation of organizational management through the integration of Artificial Intelligence (AI) and human expertise. It demonstrates that hybrid decision-making systems outperform purely human or purely algorithmic approaches by leveraging the mechanisms of cognitive complementarity and distributed cognition. The analysis identifies key success factors, including Explainable AI (XAI), the proper calibration of trust, and overcoming challenges such as automation bias. It also explores the implementation of collaborative frameworks across sectors like finance and operations management. The primary conclusion is that strategic effectiveness does not depend on choosing between human or machine intelligence, but rather on designing architectures that utilize the specific cognitive capital of both agents. Success lies in the systematic integration of their complementary roles.