Even if your company hasn’t formally adopted AI yet, you still need an AI policy. This is true even if your company doesn’t allow employees to use AI or if it isn’t planning on purchasing any AI tools.
The reality is, if you employ people, AI is already present in your workplace. The only question is whether you are managing it or ignoring it.
“We Don’t Use AI” Is Usually Not True
Most employers don’t realize how often AI shows up in daily work.
Employees can use AI for a variety of purposes, including:
- Draft emails and reports
- Summarize meetings
- Generate presentations
- Screen resumes
- Prepare job descriptions
- Research legal, technical, or operational issues
They can do this using free, public tools that sit outside your systems and controls.
In fact, a 2025 study of more than 32,000 workers from 47 countries found that nearly 3 in 5 employees use AI intentionally and regularly at work. The study covered all geographical regions and occupational groups. This means that even if leadership never approved AI use, it is likely still happening, and without a policy, it is happening without guardrails.
The Legal Risk of Silence
When there is no policy, employees can make their own assumptions. Some may assume that everything is allowed, while others may assume that nothing is allowed and choose not to disclose their use of AI. Both scenarios create risk for the company.
Silence can create risk around:
- Confidential information
- Intellectual property ownership
- Accuracy of work product
- Accountability for errors
- Compliance with privacy obligations
AI Policies Are Not About Banning Technology
A good AI policy is not about fear or control. We’ve written previously that companies should avoid bans on AI, since a likely effect would be to drive AI use underground. The benefit of a clear AI policy is that you bring AI use into the open, where it can be discussed and regulated.
An effective policy helps employees understand:
- What tools are acceptable
- What information must never be shared
- When AI can and cannot be used
- Who remains responsible for final work
Confidential Information Is a Major Exposure
One of the most common AI mistakes employees make is sharing confidential information with public tools.
Confidential information can include:
- Client data
- Employee information
- Financial details
- Business strategies
- Draft contracts or policies
Once that information is entered into a public AI tool, employers may lose control over it. It may even be stored in another country, and, if an AI engine trains on it, it may expose your confidential information to the public, which creates privacy risks and potential contractual breaches.
This is why an AI policy should clearly state that confidential information must not be entered into public AI tools. It should also clarify what kind of information is confidential.
Intellectual Property Questions Employers Overlook
AI also raises ownership issues many employers have not considered.
If an employee uses AI to create content, who owns it? What if the employee entered company intellectual property into an AI tool, is it still protected?
Without a policy, employers may face disputes over:
- Ownership of AI-assisted work
- Use of AI-generated materials
- Infringement of others’ intellectual property
Clear rules help avoid messy arguments later. Make sure your AI policy clearly states that none of your company’s intellectual property can be entered into a public AI tool.
Hiring and HR Are High-Risk Areas
AI policies also matter when it comes to hiring and people management.
As discussed in earlier blogs, AI hiring tools introduce human rights and disclosure obligations. Policies help ensure:
- Only approved tools are used
- Human review and decision making are required
- Bias and discrimination risks are monitored
- Disclosure requirements are met
Policies Support Consistency and Fairness
One of the strongest arguments for an AI policy is consistency. Without a clear policy, there is a risk that every department or employee could use AI differently, resulting in a variety of different risks to the company that may not come to light until it’s too late. A policy creates a shared baseline for everyone.
Training Makes Policies Work
A policy that sits unread in a handbook does very little. Employers should pair AI policies with basic training that explains:
- Why the policy exists
- How AI tools work at a high level
- Common mistakes to avoid
- Where to ask questions
In particular, before adopting a specialized AI tool, such as one for hiring, companies should ask the AI provider if there is training available.
It’s also advisable to arrange for AI training for employees on a regular basis, or to provide regular time for self directed learning, in order to ensure their skills are up to date.
What a Strong AI Policy Should Cover
Every workplace is different, but most AI policies should address:
- Approved and prohibited uses
- Confidentiality and privacy
- Accuracy and verification
- Human oversight
- Accountability
- Compliance with employment and human rights law
- How violations are dealt with (discipline)
Waiting for a Problem Is the Expensive Option
Many employers only address AI after something goes wrong, such as a data leak, a complaint from a third party, or a public mistake. At that point, the conversation is more about damage control than prevention. Policies are far easier to implement in the prevention stage, when you have the time to think and discuss with your team about how you want AI used in your company.
The Bottom Line for Employers
Whether you are aware of it or not, your workplace is already interacting with AI in some way. Ignoring that reality increases legal and reputational risk. An AI policy doesn’t need to be long or complicated, but it should be clear, practical, and aligned with how your people actually work.
If you want help drafting an AI policy that fits your business, reviewing current practices, or training teams to use AI responsibly, contact us, call us, or schedule an appointment with us.
