Part 5 of the RemarkableTek series: AI for Your Business
A policy that no one reads protects no one. The goal of this post is not a ten-page legal document — it is a one-page set of plain rules your team can absorb in five minutes and actually remember. If you have followed the series this far, you already have the raw material: a clear sense of the risks (Part 2), visibility into what is in use (Part 3), and an approved toolkit (Part 4). The policy just writes it down.
Why a written policy matters
You may be thinking your business is too small for a formal policy. But the policy is not bureaucracy — it is protection. A written, shared rule does three things an unwritten understanding cannot. It gives every employee, including new hires, the same clear guidance. It gives you something to point to if a mistake happens. And if your business is subject to AI or data regulations, it is often a baseline expectation — being able to show you have rules and that staff acknowledged them matters.
It does not need to be long. Length is the enemy here. A short policy gets read and followed; a long one gets filed and ignored.
The seven things a good AI policy covers
Here is a practical structure. Each section can be just a few sentences.
1. Which tools are approved. List your approved toolkit from Part 4 by name, and state plainly that work tasks should use these tools and not unapproved alternatives. Name a person to ask if someone wants to add a tool.
2. What data must never be entered. This is the heart of the policy and comes straight from Part 2: no customer or client personal information, no passwords or credentials, no contracts, no financial or pricing data, no confidential or proprietary material, no employee personal information. State it as a clear list.
3. The redact-first habit. Instruct staff to replace real names, numbers, and identifying details with placeholders before using an AI tool, and fill them back in afterward.
4. Human review is required. State that AI output is a draft, never a final product, and that anything going to a customer, a regulator, or into a legal or financial context must be checked by a person first. Accuracy is the employee’s responsibility, not the tool’s.
5. Disclosure expectations. Decide and write down when AI use should be disclosed — for example, whether AI-assisted work products need to be flagged internally, and how to handle situations where a client or regulation requires disclosure. Some industries and some clients now expect this.
6. What to do when something goes wrong. Tell people exactly what to do if sensitive data is entered into a tool by mistake: who to tell, immediately, with no blame attached. A mistake reported in five minutes is manageable; one hidden for five weeks may not be.
7. Who owns the policy. Name the person responsible for keeping the policy current and answering questions. AI tools change fast; the policy needs an owner who will revisit it.
Roll it out so it sticks
Writing the policy is the easy part. Making it real takes a little more.
Introduce it in a short conversation, not just an email — walk the team through the why, especially the data rules, so it lands as protection rather than restriction. Have everyone acknowledge they have read it; a simple signature or confirmation gives you a record and signals that it is real. Keep it somewhere easy to find, not buried in a shared drive. And revisit it on a set schedule — twice a year is reasonable — because your toolkit and the rules around AI will both change.
One tone note: frame the whole policy as enabling, not policing. The message is “here is how to use AI safely and confidently,” not “here is a list of ways to get in trouble.” A team that feels trusted to use AI well will follow the rules. A team that feels watched will just hide what they are doing — which is exactly the shadow-AI problem from Part 3, returning through the back door.
What to do this week
Draft your one-page policy using the seven sections above. Keep it short enough to read in five minutes. Then schedule the short rollout conversation. If your business is in a regulated field, have the data and disclosure sections reviewed before you finalize — that is the part where getting it slightly wrong carries real consequences.
In Part 6, we shift from rules to opportunity: which businesses and industries are getting the most value from AI, with concrete examples you can borrow.
Want a policy built around your business, not a generic template?
A good AI policy reflects your actual tools, your industry’s rules, and the way your team works — a copy-paste template off the internet does none of that. RemarkableTek can build an AI acceptable-use policy tailored to your business and help you roll it out so it actually sticks.
Get in touch with RemarkableTek:
- Contact us: remarkabletek.com/contact-us
- Call: 1-602-726-8366
This series is educational and not legal advice; for compliance guidance specific to your business, contact RemarkableTek.