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Company AI Policy Builder
Create clear, practical company AI usage rules, approval paths, controls, training, and review workflows.
$9.99
Company AI Policy Builder
Example session with this skill installed
Draft a practical AI acceptable-use policy for a 300-person marketing and software company. We use two company-approved AI assistants, but tool inventory and jurisdiction details are incomplete. Staff handle public, internal, confidential, and customer data. Include approved, approval-required, restricted, and prohibited uses; data rules; human review; external output; coding and agents; incident reporting; exception path; owners; training; and questions we must resolve before approval. Clearly mark assumptions and avoid claiming a law requires a rule unless verified.
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- Compiled the company ai policy
AI acceptable-use policy — working draft
Status: Draft for stakeholder review.
Scope: Employees and contractors using AI for company work. This template requires tailoring before approval.
1. Purpose and authority
Enable useful AI work while protecting people, company information, customers, systems, and intellectual property. The policy owner is the designated AI governance lead. Legal, privacy, security, HR, procurement, and business owners review topics within their authority. No legal requirement is asserted here; confirm applicable jurisdictions and obligations.
2. Allowed use
Use only tools on the current approved-tool list and only for work within their approved purpose. Public information and low-risk drafting may be used when no confidential, personal, customer, credential, or restricted data is included. Verify factual claims, citations, calculations, and generated code before relying on them.
3. Data rules
| Data class | Default rule |
|---|---|
| Public | Permitted in approved tools, subject to accuracy and IP review |
| Internal | Use approved enterprise settings; do not expose externally |
| Confidential | Use only when the tool and data flow have written approval; minimize and redact |
| Customer or personal data | Do not enter unless privacy/security approvals and contractual controls are confirmed |
| Credentials, secrets, highly restricted data | Prohibited in prompts and uploads |
Do not assume a vendor's retention, training, access, or deletion terms. Confirm the specific product configuration with procurement, security, and privacy.
4. Uses requiring review
Seek documented approval before using AI for consequential employment, customer eligibility, legal, financial, safety, or other high-impact decisions; processing sensitive data; external commitments; customer-facing recommendations; or autonomous actions that change systems or records. A human owner must review outputs and be able to override them.
5. Restricted and prohibited uses
Restricted: unapproved tools, confidential data in unapproved environments, automated external communication, production changes, and AI-generated claims without verification. Prohibited: entering secrets; bypassing safeguards; impersonation or deception; fabricated evidence; unlawful discrimination; and delegating high-impact decisions without accountable human review. Confirm these choices with company stakeholders.
6. Coding and agents
Use approved coding tools and repositories. Review generated code, dependencies, licenses, tests, and security before merge. Agents must have least privilege, scoped data, logged actions, bounded autonomy, and a human approval step before consequential writes, external messages, purchases, or production changes.
7. Reporting and exceptions
Report suspected disclosure, unsafe output, or unauthorized action promptly through the existing security/privacy incident channel. Document exceptions with business need, data, tool, owner, controls, expiry date, and approver. Reassess expired exceptions.
8. Rollout and open decisions
Name policy owner and approvers; publish the approved-tool inventory and data-classification mapping; provide role-based examples and training; define acknowledgment and incident routes; review at least annually and after material tool, risk, or legal changes. Before approval, resolve jurisdictions, vendor terms, employee consultation duties, retention, enforcement, and the current tool inventory.
This is an illustrative draft, not a company-approved policy or legal opinion.
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About this skill
Company AI Policy Builder turns an organization's goals, approved tools, data classifications, risk posture, roles, and governance needs into practical AI usage rules employees can understand and follow. It helps define approved, restricted, prohibited, and approval-required uses; rules for data handling, human review, external outputs, coding, agents, procurement, intellectual property, incident reporting, exceptions, and policy maintenance.
The process separates company choices from legal obligations and ties each rule to actual work. It can produce a policy draft, role-specific guidance, approval matrix, exception workflow, control map, rollout and training plan, acknowledgment language, review schedule, and open questions for stakeholders. It aims to enable legitimate productivity while protecting people, confidential information, customers, systems, and the organization.
Recommendations depend on the organization's context and the evidence provided. The agent will not invent laws, approvals, incidents, certifications, vendor controls, or internal rules. It flags jurisdiction-specific and high-consequence questions for qualified legal, privacy, security, HR, compliance, and employee-representation stakeholders. This is policy-development support, not legal advice; organizational owners remain responsible for approval and implementation.
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