Compliance & policy

AI compliance playbook

An AI compliance playbook supports policy comparison, evidence organization, and gap identification while keeping interpretation and sign-off with qualified reviewers.

What AI can safely support

AI can help summarize policies, compare documents against a checklist, identify missing sections, and draft questions for compliance, legal, privacy, or security review.

The playbook should require source references and prohibit unsupported conclusions. AI output should be treated as a draft review aid, not compliance certification.

Compliance workflow

  1. Define the approved framework, policy source, and review objective.
  2. Compare one requirement at a time to reduce broad hallucination risk.
  3. Capture evidence, missing information, and uncertainty.
  4. Route findings to the correct subject-matter reviewer.
  5. Document final disposition separately from AI draft output.

Important caution

Compliance playbooks should be conservative. They should not imply legal, regulatory, privacy, medical, financial, or security advice. They should help reviewers work more consistently.

Preview the policy review workflow.

See how the site frames policy comparison, gap tracking, and reviewer escalation.

Preview workflow