A Simple AI Policy for Your Texas Business
Your staff are probably already using AI — pasting emails, contracts, and client details into whatever chatbot is open in a browser tab. The fix is not a ban nobody follows; it is a short, specific policy that says which tools are approved, what data may and may not go into them, and who reviews the output. This page gives you that starter: a plain-English acceptable-use and governance outline you can adapt today.
A note before you copy anything
This is a practical starting point, not legal advice — adapt it with your own counsel. The outline below is a sensible default for a small Texas shop, but every business has different obligations, and regulated or sensitive data raises the stakes. Have a qualified attorney review your policy before you rely on it.
Why "use AI responsibly" isn't a policy
A vague instruction to "use AI responsibly" or "be careful with the chatbots" tells nobody what to actually do. Staff fill the gap with their own judgment, and judgment varies — one person redacts client names, the next pastes a whole contract to get a faster summary. A policy that works is specific: it names the tools people may use, draws a clear line around the data that may and may not go in, and says who is accountable when something goes wrong.
The goal is not to scare people off AI. It is to let them use it confidently inside guardrails they understand. A good policy is short enough that everyone reads it and concrete enough that everyone can follow it.
What your staff are probably doing right now
Walk any office today and you will find people quietly pasting work into public AI tools: a sales rep summarizing a client email, a bookkeeper asking a chatbot to explain a contract clause, an assistant drafting a letter that contains a customer's name and address. None of them mean harm. Most do not realize that text typed into a free public tool can leave your control entirely.
That is the real exposure — not some future robot, but ordinary client and company information walking out the door one paste at a time. A policy names that risk out loud and gives people a safe, approved way to get the same help. The cleanest way to shrink the risk is to keep the AI itself on hardware you own, so there is no public tool to paste into in the first place.
The 7 things a basic AI policy should cover
If your policy answers these seven questions in plain language, you have covered the ground that matters most for a small business.
1. Approved tools
List the specific AI tools staff may use for work — by name. Anything not on the list needs sign-off before it touches company data.
2. What data may go in
Spell out what is allowed: general questions, public information, internal drafts. Be concrete, not abstract.
3. What data may NOT go in
Name the banned inputs: client names and contact details, contracts, financials, anything covered by confidentiality. When in doubt, leave it out.
4. Who approves new tools
One named person (or role) decides whether a new AI tool is allowed. New tools do not get adopted by accident.
5. Human review of output
AI output is a draft, never the final word. A person checks anything that goes to a client, a regulator, or the public before it ships.
6. Record-keeping & accountability
Note who is responsible for the policy, how it is reviewed, and a light record of which tools are in use. Name an owner.
7. What is flatly banned
State the hard lines: no pasting client PII into public tools, no using AI to make final decisions about people without review, no unapproved tools.
Where the NIST AI RMF fits (in plain English)
You will see the NIST AI Risk Management Framework referenced in AI-governance conversations. It is published by the U.S. National Institute of Standards and Technology, and the key thing to understand is that it is voluntary guidance, not a law or a mandate. Nobody is going to fine you for not adopting it. It is a respected checklist you can scale down to a small shop.
It organizes AI risk into four plain functions, and a one-page small-business policy already echoes them:
- Govern — decide who is accountable and write the rules down. (That is your policy.)
- Map — know where you are actually using AI and what data it touches.
- Measure — check the output: is it accurate, is it being reviewed?
- Manage — fix problems, retire risky tools, and update the rules as you go.
You do not need a compliance department to do this. You need a short policy and someone whose job it is to keep it current.
How "data stays in the building" shrinks your policy risk
The hardest rule to enforce in any AI policy is "don't paste sensitive data into public tools," because the temptation is one keystroke away. The most reliable fix is structural: run the AI on hardware you own, so your documents never leave your premises for a third-party cloud. When the model is local and private, the biggest leak is closed before a policy has to catch it.
This does not replace a written policy — you still need approved-tool lists, human review, and accountability — but it dramatically narrows what the policy has to defend. For the technical side of keeping information on-premise, see AI data privacy & compliance in Texas on our security pillar, and read more about private AI infrastructure on the main site.
A starter policy outline you can adapt
Headings to fill in for your own shop. This is a template to adapt with counsel — not legal advice, and not a finished policy.
| Section | What to write |
|---|---|
| Purpose & scope | One sentence on why the policy exists and who it applies to (all staff, contractors, anyone using company data). |
| Approved AI tools | The named tools allowed for work, and a note that anything else needs approval first. |
| Allowed data | The categories of information staff may put into approved tools — general, public, internal drafts. |
| Prohibited data | The categories that may never be entered: client PII, contracts, financials, confidential or privileged material. |
| Human review | A statement that AI output is a draft and a person reviews anything client-facing or official before it goes out. |
| Approvals & accountability | Who approves new tools, who owns the policy, and how often it is reviewed. |
| Banned uses | The hard lines — no public-tool pasting of sensitive data, no unreviewed decisions about people, no unapproved tools. |
| Texas & sensitive data note | A line directing staff to flag regulated or sensitive data to a named contact, and to counsel where needed. |
This outline is a practical starting point, not legal advice. Adapt it to your business and have your own counsel review it before you rely on it.
Texas note: TDPSA and sensitive data
Texas has its own privacy law worth knowing about at a high level: the Texas Data Privacy and Security Act (TDPSA), which took effect on July 1, 2024. It governs how businesses handle Texas residents' personal data and is enforced by the state Attorney General.
Importantly for smaller operators, the TDPSA includes a small-business exemption tied to the U.S. Small Business Administration definition, so many small businesses are largely exempt — though selling certain sensitive data can still require consent even then. This is general context to help you ask the right questions, not a determination about your business and not legal advice. If you handle regulated or sensitive data, talk to qualified counsel about exactly what applies to you. To start with the readiness side of this, a readiness audit flags privacy and governance gaps before you build, and our on-site AI training walks your team through the policy in practice.
We help Texas businesses write the rules — and own the AI
Governance and hardware go together. We sit down with you in person across Houston, Katy, Fulshear and the Fort Bend area, help you adapt a starter policy your team will actually follow, and build the private, owned AI that keeps your data in the building in the first place. The person who helps shape the policy is the same one who installs the server and picks up the phone afterward. Check your town on our Texas service areas.
AI policy questions, answered
Do we really need an AI policy for our small business?+
A short acceptable-use policy is one of the highest-value, lowest-cost governance steps you can take. If your staff are already using AI tools — and most are — a one-page policy that names approved tools and what data may go into them prevents the most common mistakes. It is far cheaper to write the rules than to clean up a leak.
Is this AI policy guide legal advice?+
No. This is a practical starting point, not legal advice — adapt it with your own counsel. For regulated or sensitive data — health, financial, or anything covered by a confidentiality duty — you should have a qualified attorney review your policy before you rely on it.
What is the NIST AI Risk Management Framework, and do we have to follow it?+
The NIST AI Risk Management Framework is a voluntary framework published by the U.S. National Institute of Standards and Technology. It organizes AI risk into four functions — Govern, Map, Measure, and Manage. It is recognized guidance, not a law or a mandate. For a small business it is useful as a sane checklist to scale down, not a compliance burden you are required to meet.
Does Texas have an AI or data-privacy law we should know about?+
The Texas Data Privacy and Security Act (TDPSA) took effect on July 1, 2024, and governs how businesses handle Texas residents' personal data. It includes a small-business exemption tied to the U.S. Small Business Administration definition, so many small businesses are largely exempt — though selling sensitive data can still require consent. Treat this as high-level context and consult counsel for your specific situation; this is not legal advice.
How does keeping data in the building reduce our policy risk?+
When you run AI on hardware you own, your documents never leave your premises for a third-party cloud. That removes the single biggest source of policy risk — staff pasting client data into a public chatbot — because the model is local and private. It does not replace a policy, but it shrinks what your policy has to defend against.
Next, find out if you're ready with an AI readiness audit, train your team with on-site AI training, or read about AI data privacy & compliance in Texas.
Want ground rules your team will actually follow?
Tell us how your staff are using AI today and we'll help you adapt a plain-English policy — and build private, owned AI so your data never leaves the building. On-site across Houston and Fort Bend County.