Enterprise Policy

Enterprise policy refers to the formal rules, standards, and guidelines that organizations establish to govern how AI systems are developed, deployed, and operated across their business functions. These policies address critical concerns such as data usage, model transparency, risk management, and accountability structures, ensuring that AI implementations align with organizational values and regulatory requirements. For AI governance and compliance, robust enterprise policies provide the foundational framework that enables consistent decision-making, reduces legal exposure, and helps teams understand their responsibilities when working with AI technologies.

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Corporate PolicyGlobal2026-08-01

Mayer Brown Guidance Exposes Gaps in Existing AI Governance for Agentic Systems

Mayer Brown published practitioner guidance on governing agentic AI systems, identifying where conventional AI governance programs fall short when agents can plan and execute tasks without close human supervision. The guidance focuses on three core requirements: tighter authorization controls, meaningful human oversight, and continuous monitoring. Enterprises deploying or planning to deploy autonomous agents should treat this as a benchmark for assessing program adequacy.

agentic AI human oversight authorization controls enterprise policy Mayer Brown AI governance