AI database agents need review queues, not just approval buttons

Short summary

AI database agents need review queues, not just binary approval gates, because real workflows involve ambiguity—missing tenant filters, partial results, or uncertain interpretations. A useful review item should include the original question, scope, proposed interpretation, tool call, schema version, policy reason, and safe next actions like approve, narrow, reject, or reroute. The queue should also feed the product loop: repeated ambiguities signal needed improvements in schema context, metric definitions, or approved views.

• •Review queues handle uncertainty; approval gates only gate prepared actions
• •Review items should include scope, interpretation, tool call, policy reason, and safe next actions
• •Repeated ambiguities in the queue signal product improvements needed in schema or definitions

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