Agentic AI in Enterprises: Readiness, Realities, and Roadblocks

As enterprises enter the next wave of AI-led transformation, agentic AI is emerging as a powerful force, marked by intelligent systems capable of autonomous decision-making and contextual actions. Unlike earlier AI phases focused on content generation or automation, agentic AI introduces a paradigm shift by enabling systems to dynamically respond to environments and act as collaborative digital teammates. Yet, despite rising interest, most enterprise deployments remain in early or experimental phases, hindered by issues such as unclear RoI, data and talent readiness, and governance complexities.

This report presents findings from a global survey of 112 enterprises, offering insights into how organizations are navigating the transition from pilot to scale. It explores the distribution of readiness across different maturity stages, key investment areas, sourcing strategies, organizational models, and evolving leadership expectations. It also outlines practical recommendations for enterprise and technology leaders aiming to unlock value from agentic AI while managing associated risks around security, bias, and explainability.