Compliance & Audit
How does the platform capture human-in-the-loop interventions for regulated workflows that require manual approval?
Human-in-the-loop checkpoints are managed by pausing durable execution at designated steps, awaiting human input while preserving full state. Once the reviewer responds, the platform records their identity, decision, and timestamp as a signed step within the verifiable execution record. This produces an immutable audit trail for auditors, proving human consultation at the required point. It does not validate the quality or business appropriateness of the human choice.
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What evidence artifacts should I gather from an AI agent platform for an audit of automated decision-making?
An AI agent platform provides verifiable step records and identity bindings as foundational audit evidence, though business rule correctness remains external.
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Can I control where agent state and execution records are stored to comply with data residency requirements?
Region-specific deployment options ensure durable execution state and step payloads remain within geographic boundaries to meet localization mandates.
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How long are execution records retained, and can I customize the retention period?
Customizable retention periods allow organizations to automatically archive or delete agent execution records in line with data aging requirements.