How to Document AI Decisions for Compliance

Why Documentation Matters

When regulators examine your AI-assisted decisions, they want a clear trail showing humans were in control. Without documentation, you cannot prove compliance even if practices are sound.

The Five-Element Framework

For every significant AI-assisted decision, record: the AI tool and its purpose, the input data and sensitivity level, the AI output or recommendation, the human review including who reviewed, changes made, and reviewer qualifications, and the final decision with rationale if it differed from AI recommendation.

Proportional Documentation

Not every use needs the same level. Routine uses need minimal documentation. Important business decisions need the full framework. High-risk decisions affecting people need the most detail including bias checks.

Storage and Retention

Store in your standard document management system. Apply standard retention policies. For regulated industries, check specific requirements. Ensure records are searchable and retrievable for audits.

Making It Practical

Build documentation into your workflow rather than treating it as separate. Create templates for quick, consistent documentation. Train your team on what needs documenting and how.

Common Mistakes

Documenting AI output but not the human review process is the most common error. Auditors care more about oversight than what AI produced. Inconsistent documentation where some decisions are documented and others are not is another frequent problem. Establish clear rules.

This article is for informational purposes only and does not constitute legal advice. Regulatory requirements change frequently — verify current rules with official sources. Built by Sawai Gyoseishoshi Office, Hiroshima, Japan.