LLM Governance Policy Template: Sections and Sample Language

Policy Template

LLM Governance Policy Template: Sections and Sample Language

An enterprise LLM governance policy should include six core sections: purpose and scope, roles and accountability, risk classification, access and tool-call permissions, audit logging, and incident response. Each section should state a policy requirement and identify the runtime control that enforces it, since documentation alone does not restrict what an agent can access or execute.

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Policy Sections Mapped to Runtime Controls

Before drafting policy language, it helps to see how each core section corresponds to an enforceable mechanism rather than a stated intention.

Summary of policy sections and the runtime controls that enforce them
Policy Section Runtime Control
Roles and Accountability Named owners and escalation paths for policy exceptions
Access and Tool Permissions Least-privilege scopes enforced at runtime, not documented as intent
Audit Logging Prompt, output, and tool-invocation records supporting review
Agentic and MCP Provisions Separate controls for multi-step, tool-calling architectures

What an LLM Governance Policy Template Should Accomplish

Most enterprise AI governance efforts start with a values statement rather than a policy document. That approach fails when auditors, security teams, or regulators ask how a stated principle is actually enforced. NIST's AI Risk Management Framework organizes governance around four functions, Govern, Map, Measure, and Manage, and its Govern function specifically requires documented roles, responsibilities, and accountability mechanisms across the AI system lifecycle. ISO/IEC 42001, the first international standard for AI management systems, follows a similar structure to ISO/IEC 27001: it requires a documented policy, defined roles, risk assessment, and a continual review cycle. A usable LLM governance policy template borrows this structure but goes further by tying each section to a specific runtime control. A policy that says access should be restricted is not enforceable. A policy that specifies which tool-call scopes are permitted, logged, and reviewed is.

From Policy Statement to Runtime Control: Sample Language

Each section of the template should pair a policy statement with the control that enforces it. For access and tool-call permissions, sample language might read: "AI agents are granted the minimum set of tool-call permissions required for their approved function. Permission scopes are defined per agent role and enforced at the point of tool invocation, not solely through developer configuration." This is enforceable because it references a runtime permission boundary rather than an