Employees are already using AI on their own, but there are still no rules?
In many organizations, employees are bringing AI into their work on their own before the company has set any rules. Some enter customer data without realizing the risk. Others submit work produced by AI without checking it. When something goes wrong, there is no guidance in place.
An AI usage policy helps everyone understand what is allowed and what needs caution. It lets the organization benefit from AI without leaving itself exposed to unnecessary risk.
This article will help you draft a policy that is easy to understand and practical to follow, not a long document no one reads.
A good policy makes the boundaries clear instead of banning everything. That gives people the confidence to use AI while knowing where they need to be careful.
Core Principle: Set rules that enable confident use, not rules that ban everything
The goal of the policy is to help people use AI safely, not to close the door so tightly that no one dares to use it.
A policy so strict that every use feels like a violation will push employees to use AI quietly, which is even riskier. A good policy clearly states where AI can be used freely, where permission is required, and what is strictly prohibited.
Keep it short, easy to understand, and grounded in real examples so people can remember it and follow it.
3 Areas the Policy Should Cover
What data can be entered and what is prohibited
Data is at the heart of the policy. Clearly state that customer data, business secrets, and personal data must not be entered into general-purpose tools. General information that can be shared publicly is allowed. The foundation for this is covered in Using AI Safely.
Tasks AI can help with versus tasks that require human decisions
Clearly state which tasks AI can help draft and which tasks require human review or a final human decision, such as legal matters, finance, or communications with important customers.
Responsibility for submitted work
Emphasize that the person who submits the work is responsible for it. Even if AI helped create it, the work must always be checked for accuracy before submission so responsibility is not shifted to the tool.
Real Example: A one-page policy that people actually follow
One company started with a ten-page policy draft, but no one read it to the end.
The team then shortened it to one page and divided it into three columns. The green column was for uses allowed immediately, such as drafting general emails or summarizing public articles. The yellow column was for uses that required review, such as work sent to customers. The red column was for prohibited uses, such as entering customer data or contracts.
A clear one-page policy like this is memorable and practical, unlike a long document that ends up sitting in a drawer.
Update Box: What can help with drafting a policy right now (June 2026)?
This section contains market-dependent information and will be updated regularly. The core principles above remain useful over time.
Many enterprise AI packages now have modes that do not use submitted data for further training, which helps reduce the risk of data exposure. Choose a package that matches the sensitivity level of your organization’s data.
Agencies in Thailand are increasingly issuing guidance on AI usage and personal data protection. Have the legal team or a knowledgeable expert review the policy before announcing it to ensure it aligns with current laws.
3 Pitfalls to Watch Out For When Setting Policies
Do not make it so long that no one reads it
A practical policy must be short and easy to grasp. If it is too long, people will skip it and go back to using AI however they want.
Review it periodically because AI changes fast
Tools and risks change constantly. Set a review cycle, such as every six months, so the policy keeps up with real-world conditions.
Communicate and train alongside the policy
A policy alone is not enough. You also need to explain it and train people so they understand it. Training is covered in Training Your Team to Use AI.
Next Steps
- 👉 Training Your Team to Use AI helps people understand and follow the policy.
- 👉 Enterprise AI: Where to Start helps plan the overall starting point.
- 👉 Using AI Safely: What Data Not to Type In covers the data basics that should be included in the policy.
Last updated: June 8, 2026 at 22:50 | Type: How-to Guide | Section 9.4 | Cluster 9