SIMULATING THE IMPACT OF AGENTIC AI ON ORGANIZATIONAL DECISION-MAKING PROCESSES USING AGENT-BASED MODELLING

The impact of Artificial intelligence (AI) on organizations, especially Agentic AI —where systems autonomously perceive their environment, learn from data, and make decisions is unknown. This study uses agent-based modeling (ABM) to assess how integrating agentic AI into organizational structures impacts decision-making speed and quality. The findings can assist organizations adopting these AI-driven approaches to best implement AI in their processes.