1. Demos use fictional data
Public examples run on invented businesses and invented records. Real client information is never used in a demo.
Short, practical rules for using AI in a small business, and the standards I hold my own work to.
Narrated by Mike Motley, with captions. Watch on YouTube
When I build or demonstrate an AI workflow, these are the rules. If you hire me for AI-related work, they apply to your project too.
Public examples run on invented businesses and invented records. Real client information is never used in a demo.
AI output is a draft. Anything customer-facing or decision-relevant is reviewed by a human first.
Where AI summarizes technical findings, each statement should point to the data it came from. If it cannot, it is removed.
An inventory of settings is not a security test. I do not call a system “secure” or “compliant” on that basis, and I say what was not checked.
AI tools get the minimum access to data they need. Passwords and secrets never go into prompts.
Before using a tool with business data I check how long data is kept, where it is stored, and whether it is used to train models.
A simple three-level rule that most small businesses can adopt today. Adjust it for your industry and any contracts or regulations that apply to you.
| Level | Examples | Rule |
|---|---|---|
| NEVER | Passwords and access keys; payment card numbers; government ID numbers; health records; confidential contracts under NDA | Do not enter into any AI tool. |
| WITH APPROVAL | Customer names and contact details; internal financial figures; employee information; vendor pricing | Only in an approved business-tier tool, only when needed, and only with the owner’s OK. |
| GENERALLY FINE | Published marketing content; public information; generic questions; fictional or anonymized examples | Any approved tool. Still review the output. |
Not legal advice. If your business handles regulated data (for example health or payment data), check the specific rules that apply to you.
A short, editable Word document you can adapt in an afternoon: purpose, approved tools, data rules, human review, accounts and access, incident handling, training and review. It uses plain language so staff will actually read it.
See where your business stands with the AI Readiness Check, or ask for an independent look at your technology with a Health Check.