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.

GuidesWhat is an AI usage policy?

A plain-English explanation of the rules that tell a team how AI may and may not be used.

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GuidesCan employees use ChatGPT at work?

A decision framework for allowing useful work while controlling data and review risk.

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GuidesWhat data should not be pasted into AI tools?

A practical data-boundary guide for client, personal, payment and sensitive business information.

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GuidesHow to approve an AI tool for work

A lightweight vendor and workflow review process for small teams.

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GuidesHow to review AI output before it is used

A human-review checklist for accuracy, confidentiality, rights and impact.

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GuidesHow to roll out an AI policy

A four-step launch plan that turns a policy document into team behavior.

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GuidesHow to extend an AI policy to contractors

How to give contractors clear rules without treating them as an afterthought.

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GuidesHow to use AI on client work

A client-work guide for permission, confidentiality and approval boundaries.

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GuidesHow to use AI for marketing content

A review-first workflow for drafts, claims, brand voice and rights-sensitive assets.

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GuidesHow to use AI for customer service

A safe way to use AI in support without letting it make promises or decisions alone.

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GuidesHow to use AI in recruiting

A human-led approach to recruiting drafts, screening support and candidate privacy.

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GuidesHow to use AI in finance workflows

Boundaries for analysis support, spreadsheets and communications that may affect decisions.

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GuidesWhen AI output needs legal review

A clear escalation guide for contract, regulatory and rights-sensitive work.

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GuidesHow to train employees on an AI policy

A short training format that uses real situations instead of abstract policy language.

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GuidesWhat to do after an AI policy incident

A calm first-response checklist for accidental sharing, unsafe output or unapproved use.

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GuidesHow often should an AI policy be reviewed?

A practical review cadence tied to tools, workflows and material changes.

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GuidesWhen should you disclose AI use?

A decision guide for transparent communication with clients, customers and colleagues.

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GuidesAI governance for small teams

A minimal operating model: owner, approved tools, data rules, review and revision.

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