AI Policies: Clear Rules Your People Can Actually Follow
Your people are using AI right now. The only question is whether they’re doing it with any rules. A good AI policy answers the everyday questions plainly: which tools are approved, what data can and can’t go into them, and what to do when they’re not sure. Without that, every employee is making it up, and some of them are making it up with your client data.
What a Real Policy Covers
Not a legal document nobody reads. A short, clear set of answers to the questions people actually have:
- Which tools are approved, and which aren’t, so people aren’t guessing.
- What data is off-limits, especially client, patient, and financial information.
- How to use AI well, so its output is checked by a person rather than trusted blindly.
- What to do when unsure, so the answer isn’t “just try it and see.”
Policy Is Only Real If People Follow It
The hard part isn’t writing the policy. It’s making it stick. A policy people don’t know about, or can’t understand, changes nothing. We help you write rules in plain language that match how your firm actually works, train your people on them, and keep an eye on whether they’re being followed, because a policy no one enforces is just a document that makes you feel covered.
Common questions
Which AI tools are approved, what data must never go into them, how output should be checked by a person, and what to do when someone isn’t sure. Plain enough that people can actually follow it.
Yes, and arguably more, since smaller firms rarely have anyone else watching. Your people are already using AI; a short, clear policy is the cheapest way to keep that from becoming a data problem.
Policy is the written rules. Governance is the wider discipline that includes the policy plus the accountability, boundaries, and oversight that make it real. Policy is one piece of governance.
See if your people have rules to follow.
The AI Readiness Assessment covers whether your firm has AI policies and whether they match how people actually work. A few minutes, and no obligation.
Where This Fits
- Want the bigger AI picture? Visit the AI Hub.
- Need the wider framework? See AI Governance.
- Worried about compliance and data? See AI Risk & Compliance.
- Not sure where you stand? See AI Readiness.