Review and correct extracts

A practical deployment starts with the source systems that matter to the workflow: inboxes, mailbox archives, files, shared drives, monitored sites, or other records the team needs to review. Once the records are in scope, Polytrace keeps the original source available and adds a cleaner operating layer on top. Teams can search the underlying records directly, organize them into collections, and extract the fields or signals that matter for the job at hand.

Each extracted value keeps its link back to the source evidence behind it. A reviewer can inspect the underlying message, file, or supporting detail instead of guessing why a field was populated in a certain way.

Review status stays explicit. An extract can remain pending while fields still need review, move to approved when the workflow is satisfied, or end up rejected when the output should not be used. Human corrections update the reviewed extract and the outputs built from it, but they do not overwrite the original source record.

Polytrace keeps review accountable before extracts spread. Review queues, field-level decisions, review status, change visibility, and audit trail make it clear what changed, who approved it, and what should move forward.

That also gives teams a safer way to handle uncertainty. If a field is incomplete, ambiguous, or just wrong, the workflow can hold it for review instead of silently letting a bad value flow into alerts, shared outputs, or downstream systems.

For some teams, control is the reason the product is viable at all. A workflow is only useful if the right people can see the right records, sensitive details can be limited or redacted where needed, and reviewers can trace important values back to their source.