AI Policy Templates: Drop-in acceptable use, data handling, vendor management, incident response, disclosure, training, bias review, and governance ... for every sector. (The AI Playbooks Book 2)

A policy that no one reads does not govern anything. For organizations of every size that need AI policies that actually work —AI Policy Templates is a drop-in library of 8 core policies and 6 sector adaptations, written in plain language, ready to customize and ship. Inside, you'll find 8 drop-in templates:Plus 6 sector adaptations: Healthcare · Financial Services · Government · Education · Manufacturing · Small Business For every template: the full policy text, implementation notes, and the common pitfalls that derail policy rollouts. About the author. April Lewis is the founder of the National AI Certification Board and the author of the proposed ANSI/IACET 2-2026 Standard for AI Governance, Ethics, and Risk Management. She is the developer of the AI Awareness curriculum certified by the Texas Department of Information Resources under House Bill 3512 — DIR Certifications #096 and #274 — and the CEO of A.S. Business Consulting LLC in Round Rock, Texas. Book 2 in the AI Field Guides Series. Not legal advice — every template requires qualified legal review before adoption.AI Acceptable Use Policy — what employees may and may not do with AIAI Data Handling Policy — four-tier data classification and AI rulesAI Vendor Management Policy — evaluate, contract, and oversee AI vendorsAI Incident Response Plan — what to do when AI produces a wrong, harmful, or unexpected resultAI Disclosure Policy — when to tell customers AI was usedAI Training & Awareness Policy — role-based workforce training requirementsAI Bias & Fairness Review Policy — pre-deployment and ongoing fairness monitoringAI Governance Charter — the board-level umbrella for the policy stack Read more