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ARTICLE · 05 MAY 2026

Managing Agentic AI In Real‑World Use: From Outputs To Actions

As artificial intelligence systems evolve from providing information to executing real-world actions, organizations face new legal risks and governance challenges.

United StatesTechnology

Agentic artificial intelligence (AI) is the next frontier for companies and organizations that are using AI. Agentic AI can select and carry out actions on a user’s behalf based on instructions, context, and the permissions it has been configured to use. As organizations integrate these systems and capabilities, they face an additional layer of legal risks and governance concerns. 

As companies begin to use agentic AI, they should consider key risk management practices to ensure responsible adoption. This includes aligning with emerging best practices and standards being studied and promoted by the National Institute for Standards and Technology (NIST) around agentic AI, including the Center for AI Standards and Innovation (CAISI) AI Agent Standards Initiative and the National Cybersecurity Center of Excellence Project addressing Software and AI Agency Identify and Authorization. For example, organizations utilizing agentic AI should look more closely at how the authority of AI

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