You should log every action an agent takes, along with enough context to judge whether that action was normal. A log that only records that something happened, without the surrounding detail, cannot tell you whether it was routine or a problem.
At a minimum, logging for a Shopify AI agent should capture:
- Every API operation the agent performs, including queries and mutations, not just writes.
- The agent identity behind each action, so activity can be attributed to a specific actor rather than a shared app.
- The timestamp and the originating IP address for each event.
- The Shopify resource that was accessed or changed.
- Whether the action was allowed or blocked, and if blocked, which permission was missing.
- A risk level for each event, so high-risk actions are distinguishable from routine ones.
The miniOrange AI Agent Governance solution for Shopify records these events automatically and stores them in a searchable, exportable audit trail. Because each event is tied to the agent's behavioural profile, the log captures not just what happened but whether it fits what that agent normally does.
This matters because AI agents generate activity constantly, and routine and risky actions can look identical in a bare log. Logging the identity, resource, outcome, and risk level of each event is what makes the difference between a record you can investigate and one that only confirms something occurred.
Capturing high-risk write operations with elevated severity ensures the events most likely to cause damage are the ones that stand out first when you review the trail.
For further assistance with Shopify AI agent logging, get in touch with us today.
