Maintain a list of AI tools, a decision log, data sharing records, and incident documentation. A spreadsheet and shared folder are enough to start.
AI Audit Trails for Small Companies — What You Actually Need
You Do Not Need Enterprise Software
Small companies often think AI audit trails require expensive platforms. They do not. A well-organized spreadsheet and shared folder provide a perfectly adequate audit trail for companies under 50 people.
The Four Components
First, an AI tool register: all AI tools used including name, vendor, purpose, users, and data types. Update when tools are added or removed.
Second, a decision log for significant AI-assisted decisions. Record date, decision, AI used, final decision maker, and outcome. Focus on material business decisions, not every email draft.
Third, data sharing records documenting what categories go into AI tools. Document your classification policy and any exceptions for sensitive data.
Fourth, an incident log for any AI problems and resolutions. Even zero incidents should be documented along with your response procedures.
Organization
Create a shared folder with clear naming. Keep registers and logs as spreadsheets. Store policies and reports as individual files. Ensure at least two people know the system.
Regular Maintenance
Review and update quarterly. A stale audit trail is almost as bad as none. Set calendar reminders.
Scaling Up
Plan for transition to more sophisticated systems around the 50-employee mark or when you enter regulated markets. The structure you build now informs what you need from a larger system later. Companies that start with organized spreadsheets transition to enterprise governance platforms much more smoothly than those that have no records at all.
When evaluating enterprise audit trail tools, look for ones that can import your existing spreadsheet data. This preserves your historical records and creates a continuous audit trail from day one of your AI use.
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