Validate AI Agent Answers with DataHub

Route low-confidence AI agent answers to Boomi Data Hub for human review. An intake process checks each answer's confidence score against a threshold you can adjust per environment. Answers below the threshold are held in Data Hub quarantine until a data steward approves, corrects, or removes them. Approved answers become golden records, matched by question, so a new answer to the same question updates the existing record instead of creating a duplicate.

A publisher process gathers every approved answer into a single context JSON document your agents can load. Run it on a schedule to keep the context current. The recipe ships with sample agent output and a stub write step, so you can test the full review loop first, then swap in your own agent and context destination.