Agentic Artificial Intelligence in Corporate Governance: Transforming Board Leadership through Autonomous Intelligence and Adaptive Decision-Making

Abstract

The study examined that how Agentic artificial intelligence (AI) can transform corporate governance by improving the quality of decision-making at the board level, governance effectiveness, and readiness of stakeholders. Its main goal is to examine the impact of autonomous intelligence and adaptive learning processes within Agentic AI systems on the strategy, risk management, compliance, and governance performance. The study used quantitative research design and used a structured questionnaire that was given to 200 corporate governance stakeholders, who are board directors, executives and compliance professionals. Analysis and interpretation of data was done by use of “descriptive statistics, correlation analysis, regression analysis, and paired sample t-tests” in SPSS. The findings indicate that Agentic AI capability has a statistically significant positive correlation with the quality of board-level decision-making, and Agentic AI capability should be considered a significant contributor to the accountability of the governance results. Additional results show that the degree of Agentic AI integration has a moderate and significant relationship with the overall corporate governance effectiveness. More so, the willingness of stakeholders to adopt Agentic AI is also high even though their exposure to practical experience is rather limited. The study concludes that Agentic AI can be viewed as a governance enhancing mechanism that enhances transparency, decreases information asymmetry and promotes adaptive, evidence-based board leadership.