Path To Becoming An Agentic Organization: From Agentic System Management To Adaptive, ValueOriented Organizational Maturity

The emergence of agentic artificial intelligence is transforming organizations beyond the adoption of digital tools, generative AI assistants, or isolated automation. Agentic systems are increasingly capable of perceiving contexts, formulating inferences, selecting tools, coordinating actions, interacting with environments, and contributing to complex workflows. This shift requires organizations to move from fragmented experimentation to a coherent capacity for governing artificial agency. Building on ASM - Agentic System Management and the ASMM-AI maturity model, this paper proposes a conceptual path for becoming an agentic organization. The paper is expanded through a synthesis of external models and frameworks concerning agentic workflows, AIfirst operating models, data and platform foundations, governance maturity, human involvement, measurement, readiness, and organizational transformation. Its central claim is that an organization does not become agentic by deploying agents, copilots, or automation tools, but by progressively redesigning strategy, architecture, workflows, governance, roles, data, and culture around human-agent co-agency. The proposed path is articulated through five maturity levels - Exploratory, Assisted, Embedded, Orchestrated, and Adaptive - and five maturity domains: strategy, agentic architecture, governance and risk, operational integration, and culture and capabilities. Agentic maturity is therefore interpreted not as technological accumulation, but as the organizational ability to govern autonomy, accountability, information quality, and value generation over time.