Guides
Practical guardrails for AI at work, in plain English.
Short, useful reads for teams already using AI tools — what to put in writing, who should own what, and how to keep your safety checks from quietly becoming theater. No jargon, no fear-selling.
Policy
AI Acceptable Use Policy: a plain, practical template for small teams
A short AI acceptable use policy you can actually adopt — plus the parts most templates leave out, and how to keep it from becoming shelfware.
Read the guide →Incidents
Who owns it when an AI tool gets something wrong?
Before an AI mistake reaches a customer, someone needs to own the response. Here is how to name that owner — and the escalation path — ahead of time.
Read the guide →Oversight
Is your human-in-the-loop review just a rubber stamp?
A human approval step that nobody has time to do is a false sense of safety. Here is how to tell the difference — and how to make the check real again.
Read the guide →