Sample company AI governance policy

A practical internal policy for responsible workplace AI use.

This demonstration policy shows how an organization can turn public AI principles into internal expectations for employees, supervisors and decision makers.

Sample only. It is not legal advice and should be adapted to the organization’s actual systems, contracts, industry, privacy obligations, risk profile and applicable law.

COMPANY POLICY

AI may assist the work. People remain accountable for the outcome.

The policy connects acceptable use, human oversight, verification, escalation, training and evidence into one operating standard.

1

Purpose and scope

This policy applies to employees, contractors and supervisors using AI-assisted tools for company work. It is intended to support safe, responsible and accountable use while preserving human authority over consequential decisions.

2

Approved use

AI tools may be used for approved research, drafting, analysis and workflow support when their use is consistent with company policy, privacy, security, contractual and professional obligations.

3

Confidential and sensitive information

Confidential, personal, regulated, proprietary, trade-secret or customer information must not be entered into unapproved AI systems. Employees must follow company data-classification and security requirements.

4

Verification before reliance

Material facts, recommendations, calculations, citations and claims produced with AI assistance must be verified using suitable evidence before publication, approval or consequential action. Confidence is not proof.

5

Distributed Human-in-the-Loop

Human oversight must occur at the point where AI-influenced work becomes action. The responsible human must have authority to question, verify, escalate, override or stop the action.

6

Consequential decisions

AI output must not be treated as the sole basis for employment, financial, safety, legal, eligibility, supplier, customer or other consequential decisions unless expressly authorized and subject to appropriate human review.

7

Training and competence

Personnel using or supervising AI should complete assigned AI Workplace Readiness and human-oversight training. Completion records may be registered through GovernSeal for independent verification.

8

Documentation and GovernSeal

Where proportionate to risk, the organization should retain evidence of policy versions, training completion, acknowledgements, material reviews and decision records. GovernSeal is designed to provide tamper-evident and, in production, append-only evidence of selected governance events.

9

Escalation and incidents

Suspected hallucinations, harmful outputs, deceptive content, unauthorized data use, policy breaches or uncertainty affecting consequential work should be escalated to a designated human reviewer before action continues.

10

Transparency and public statement

The organization should maintain a proportionate world-facing AI Use & Governance Statement explaining its principles without disclosing confidential, proprietary or patent-pending implementation details.

11

Review and change management

Because AI capability, law, standards and liability expectations evolve, this policy should be reviewed periodically and when material changes occur in systems, use cases, contracts or regulatory requirements.

12

Responsibility

Training, policies and software controls support governance but do not transfer responsibility away from management or the person authorized to make the final decision.

Sample acknowledgement

Make the expectation visible.

“I understand that AI may assist my work but does not remove my responsibility to follow company policy, protect information, verify material outputs and escalate uncertainty before consequential action.”

GovernSeal connection

Policy + training + evidence.

A policy is more defensible when the organization can also show that people were trained, that completion can be verified, and that material governance events were recorded with integrity.