AI Policy Kit library · Updated 2026-08-29
AI policy guides
Direct answers to the AI policy decisions teams face every day. Each resource is open, specific and connected to a practical next step.
A plain-English explanation of the rules that tell a team how AI may and may not be used.
OPEN ↗GuidesCan employees use ChatGPT at work?A decision framework for allowing useful work while controlling data and review risk.
OPEN ↗GuidesWhat data should not be pasted into AI tools?A practical data-boundary guide for client, personal, payment and sensitive business information.
OPEN ↗GuidesHow to approve an AI tool for workA lightweight vendor and workflow review process for small teams.
OPEN ↗GuidesHow to review AI output before it is usedA human-review checklist for accuracy, confidentiality, rights and impact.
OPEN ↗GuidesHow to roll out an AI policyA four-step launch plan that turns a policy document into team behavior.
OPEN ↗GuidesHow to extend an AI policy to contractorsHow to give contractors clear rules without treating them as an afterthought.
OPEN ↗GuidesHow to use AI on client workA client-work guide for permission, confidentiality and approval boundaries.
OPEN ↗GuidesHow to use AI for marketing contentA review-first workflow for drafts, claims, brand voice and rights-sensitive assets.
OPEN ↗GuidesHow to use AI for customer serviceA safe way to use AI in support without letting it make promises or decisions alone.
OPEN ↗GuidesHow to use AI in recruitingA human-led approach to recruiting drafts, screening support and candidate privacy.
OPEN ↗GuidesHow to use AI in finance workflowsBoundaries for analysis support, spreadsheets and communications that may affect decisions.
OPEN ↗GuidesWhen AI output needs legal reviewA clear escalation guide for contract, regulatory and rights-sensitive work.
OPEN ↗GuidesHow to train employees on an AI policyA short training format that uses real situations instead of abstract policy language.
OPEN ↗GuidesWhat to do after an AI policy incidentA calm first-response checklist for accidental sharing, unsafe output or unapproved use.
OPEN ↗GuidesHow often should an AI policy be reviewed?A practical review cadence tied to tools, workflows and material changes.
OPEN ↗GuidesWhen should you disclose AI use?A decision guide for transparent communication with clients, customers and colleagues.
OPEN ↗GuidesAI governance for small teamsA minimal operating model: owner, approved tools, data rules, review and revision.
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