Automation can locate data and run repeatable checks, but it should not silently turn uncertainty into a positive outcome. Human confirmation records who accepted a material fact or decision, what evidence they reviewed, and which version they approved.
A practical preparation workflow
- 1
Present the candidate beside its cited source and validation state.
- 2
Let an authorized reviewer confirm, correct, reject, or defer it.
- 3
Record the decision and rerun dependent results in a new version.
Use the right decision state
Confirmed, rejected, corrected, and unresolved should be explicit states. A reviewer should never need to infer whether a value is still an extraction candidate or already approved for downstream use.
Put the source beside the decision
Confirmation is meaningful only if the reviewer can inspect the relevant page, row, geometry feature, supplier response, or check output. Record the evidence version visible at the time.
Propagate changes without rewriting history
When a confirmed fact changes, mark dependent results stale, preserve the earlier decision, and create a new version after review. This keeps prior exports reproducible.
What to check
- Reviewer identity and authority
- Evidence and version visible at decision time
- Reason for correction, rejection, or acceptance
- Affected issues, checks, mappings, and exports
A recorded confirmation improves accountability but does not convert a business decision into legal advice or regulatory approval.
Questions teams ask
Should every extracted field require confirmation?
Material facts used in checks, mappings, or filings should have an explicit review state. Low-impact metadata may follow a lighter policy.
Can a supplier confirmation replace buyer review?
It records the supplier’s statement. The responsible business still decides how that evidence is evaluated and used.
What happens after a correction?
Dependent checks and exports should be marked stale and regenerated against the corrected version.