AI doesn’t create organizational risk. Undocumented decisions do.

Every organization adopting AI eventually faces the same questions:

• Which AI tools are approved?
• What data can never be entered into AI?
• Who owns AI governance?
• When must AI output be verified?
• What disclosures are required?
• How will the policy stay current?

Unfortunately, most organizations answer these questions one incident at a time.

The AI Policy Decision-Ready Blueprint changes that.

This workbook guides leadership through the governance decisions required before drafting an AI policy. Organized into five decision clusters, it documents key decisions, assigns accountability, flags issues requiring legal review, and creates the foundation for a customized AI policy.

Inside, work through more than 35 essential governance decisions, including:

• Scope, ownership, approved AI use, and Shadow AI
• Data protection, prohibited uses, vendor governance, and incident response
• Verification standards, oversight, monitoring, and documentation
• Disclosure, ethics, enforcement, and accountability
• Policy reviews, training, and long-term AI governance

For organizations that want AI governance before AI problems, this Blueprint provides the structured governance process that boards, regulators, insurers, and clients increasingly expect.

Don’t wait until an AI mistake forces these decisions.
Make them deliberately before they become expensive.