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The paper aims to classify the maturity of agentic AI adoption in enterprises and address associated governance challenges.

May 13, 2026Open Access

From Copilot to Commander: A Framework for Classifying Agentic AI Adoption Maturity in Enterprises

Key Points

The paper aims to classify the maturity of agentic AI adoption in enterprises and address associated governance challenges.
Developed the Agentic AI Adoption Architecture (4A) Framework with four configurations: Augmentor, Copilot, Delegate, and Commander.
Introduced the Agent Governance Artifact (AGA) to manage context, entitlements, and accountability.
Utilized an anonymized practitioner case to illustrate the framework's application.
Identified that progressing in agentic AI maturity is an organizational challenge.
Demonstrated the necessity of a purpose-built governance architecture to support AI deployment.
Outlined how different configurations of agentic AI relate to autonomy levels and domain risks.

Abstract

This working paper proposes the Agentic AI Adoption Architecture (4A) Framework — a staged typology classifying enterprise agentic AI deployments across four configurations: Augmentor, Copilot, Delegate, and Commander — defined by autonomy level, domain risk, and governance readiness. The paper introduces the concept of the Agent Governance Artifact (AGA), an organizational instrument that encodes context, entitlements, and accountability boundaries into agent behavior. Drawing on an anonymized practitioner case, the paper demonstrates that advancing agentic AI maturity is fundamentally an organizational challenge requiring purpose-built governance architecture. The 4A Framework and AGA concept are original contributions of the author. Target venue: Business Horizons (Elsevier).

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