Set expectations first: most AI policy generators produce a template with your company name filled in. Genuinely useful as a first draft. Not a policy until someone who understands your stack reviews it. - Test it with your actual situation: self-hosted Qwen, ChatGPT for drafting, customer data never in prompts. If it ignores your inputs, it is a mail merge. Delete it. - A real template covers the forgotten parts: approved models with versions, data classification, vendor review triggers, exception sign-offs. - Free tiers are fine pre-seed. Once you have customers or a deal in diligence, pay for the review. The template gets you 70%; the last 30% protects you. - Keep the policy next to your license log. The policy says what the team may use; the log proves each model was cleared. I compare 200 models, and PrivateLLM deploy sets up the licensed model on your own AWS for $50 plus usage.