Your Team Is Already Using AI. Do You Have a Policy?
Here’s a reality check for business owners: if you haven’t introduced AI tools to your team, there’s a good chance some of them are already using them anyway — through their personal ChatGPT accounts, browser extensions, or built-in AI features in the software you already use.
That’s not necessarily a problem. But it does mean that without a clear policy, AI is already influencing your business outputs in ways you may not be aware of or comfortable with.
An AI policy doesn’t have to be a lengthy document. For most small and medium businesses, a clear, practical set of guidelines is far more useful than a formal policy nobody reads. Here’s how to create one.
Step 1: Understand How AI Is Already Being Used
Before writing a policy, find out what’s actually happening. Talk to your team. Ask which AI tools they’re using, what they’re using them for, and what they find most useful. You might be surprised.
This isn’t about catching people out — it’s about understanding the baseline so you can build guidelines around reality, not assumption.
Step 2: Define What AI Can and Cannot Be Used For
The most important part of any AI policy is clarity about appropriate use cases. This will look different for every business, but a useful framework is to think about three categories:
Green light — AI is encouraged:
Tasks where AI saves time without significant quality or confidentiality risk. First draft writing, brainstorming, summarising documents, generating ideas, creating templates, formatting data.
Amber light — AI is permitted with review:
Tasks where AI can help but human oversight is essential. Client-facing communications, marketing content, proposals, any content that will be published. Requires review and editing before use.
Red light — AI is not permitted:
Tasks involving confidential client data, sensitive business information, regulated advice (legal, financial, medical), or any situation where the risk of inaccuracy or privacy breach is unacceptable.
Step 3: Address Data Privacy Clearly
This is the section most businesses skip — and the one that creates the most risk.
Staff need to understand that many AI tools are not private by default. Entering client names, financial information, personal details, or commercially sensitive data into a public AI tool can compromise confidentiality.
Your policy should specify:
– What types of data cannot be entered into AI tools (client details, financial records, etc.)
– Which AI tools are approved for business use (and which aren’t)
– Whether staff can use personal AI accounts for work tasks
If your business handles sensitive client information, consider investing in enterprise versions of AI tools that offer stronger privacy protections.
Step 4: Set Quality Standards
AI-generated content needs human review. Your policy should be explicit that:
– AI output is a starting point, not a finished product
– All AI-generated content must be reviewed for accuracy before use
– Staff are responsible for the quality and accuracy of anything they submit or publish — regardless of whether AI helped produce it
This accountability is especially important for client-facing communications, social media, and any public-facing content.
Step 5: Include Brand and Tone Guidelines
If your business has an established voice and style, staff using AI tools need to know how to apply it. Include your brand voice guidelines as part of your AI policy — or create a simple summary of your tone, language preferences, and things to avoid.
Consider creating a few examples of AI prompts that produce output aligned with your brand — this makes it practical rather than theoretical.
Step 6: Review and Update Regularly
The AI landscape is changing faster than almost any technology in history. A policy written today may be outdated in six months as new tools emerge and capabilities evolve. Build in a regular review — quarterly is ideal, every six months at minimum.
Keeping It Practical
For a small business, your AI policy doesn’t need to be a formal 20-page document. A well-structured one-page guide covering approved tools, data rules, quality expectations, and brand guidelines is often more effective than a lengthy document nobody reads.
The goal is clarity — so your team feels confident using AI productively, and you feel confident in what they’re producing.
West Legacy Group helps Australian businesses create practical, plain-language AI policies that actually get used.
Contact West Legacy Group to get help creating your business AI policy.