As part of compliance testing, ensure the system provides adequate logging and auditability. In many industries, you must be able to audit conversations after the fact for compliance issues. The testing platform should validate that conversation logs are recorded with necessary metadata (timestamps, which automated decisions were made, etc.) and that these logs themselves are stored securely. For example, healthcare AI phone agents need ongoing monitoring – organizations should audit AI conversations for potential HIPAA violations or anomalies​

. As a benchmark, one could run a batch of test call transcripts through a compliance checker (looking for any PHI in unauthorized places, etc.) and ensure no flags are raised. Essentially, the agent should pass a compliance audit in the test environment just as a human agent would. This gives confidence that deploying it won’t introduce compliance risks.