Define direction, assess risk, set guardrails, and launch rules people can actually follow.
AI is moving quickly—but your organization’s rules should be clear, practical, and built to last.
How to Write an AI Policy is a practical 68-page guide for freelancers, small businesses, and growing organizations that want to use AI productively without losing control of their information, decisions, quality standards, or accountability.
Inside, you’ll learn how to create an AI policy from the ground up using a repeatable five-stage lifecycle:
- Define purpose and scope
- Assess AI risks
- Set information, security, and ownership guardrails
- Turn expectations into operational rules
- Launch, review, and improve the policy over time
The ebook explains how to distinguish between acceptable, restricted, and prohibited AI use, while addressing practical concerns such as:
- Privacy and personal data
- Confidential and restricted information
- Security, accounts, vendors, and access
- Accuracy, bias, and fairness
- Intellectual property and client work
- Human review and accountability
- Customer-facing and high-impact AI use
- Incident reporting and corrective action
- Approved-tool registers
- AI use-case inventories
- Risk assessment worksheets
- Policy launch roadmaps
- Training and acknowledgment
- Ongoing review and maintenance
The guide also includes a complete adaptable AI policy template with practical examples for freelancers, small businesses, and growing organizations.
Use it to move from vague intentions to visible decisions: proceed, seek approval, or stop and ask for help.
This resource is a practical starting point and is not a substitute for legal, privacy, cybersecurity, employment, procurement, or sector-specific advice where qualified review is needed.
