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The Monitor page is the shared view of every item your agents have processed. It’s where you spend your time after agents are running — reviewing flagged results, exporting published data, and spotting agents whose confidence is dropping.

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What you see

Each row is a single item produced by an agent. Columns:
ColumnMeaning
ItemThe ID and name of the record (e.g., a SKU, a drawing number, a material).
AgentWhich agent produced this item.
StatusWhere this item is in the workflow. See statuses below.
ConfidenceHow confident the agent was in its result, as a percentage.
UpdatedWhen the item last changed.

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Statuses

Published

The agent produced a result with high confidence and wrote it to the destination system. No action needed.

Flagged

The result fell below the confidence threshold or hit a guardrail. Open the item, review, and approve or correct it.

Linked

The item was successfully matched to its counterpart in another system (e.g., a Teamcenter drawing linked to a SAP material).

Queued

The item is waiting to be processed — usually because an upstream step is still running or an integration is offline.

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Filter and triage

Use the status pills above the table (All / Published / Flagged / Linked / Queued) to narrow down to what needs attention. Triage flagged items first — they’re the ones blocking the workflow.

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Review a flagged item

Click any flagged row to open its review panel. From there you can:
  • See the source data the agent worked from
  • See the AI-extracted result and confidence
  • Approve, edit, or reject the result
  • See which step in the agent produced the result
Approving a flagged item commits the result and moves it to Published. Rejecting it sends it back into the queue or marks it for the agent to ignore — depending on how the agent’s decision step is configured.

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Export

Click Export in the top-right to download the current filtered view as a CSV. Useful for sharing with people who don’t have Reeva accounts, or for offline review.

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Tips

  • Watch confidence trends. If an agent’s average confidence drops, something upstream has changed — a new document format, a renamed field, a new product line. Open a few flagged items to see the pattern.
  • Don’t auto-approve flagged items in bulk. They’re flagged for a reason. If too many are flagged, lower the agent’s confidence threshold deliberately rather than rubber-stamping the results.

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Next steps