Confidence scores for AI extraction: when to double-check
A low score is not a failure: it is a signal to slow down on the right field.
By DocPilot team1 min read
Without a confidence score, AI extraction becomes an opaque copy-paste. With a score, you know where to slow down. It is the operational companion to extraction in the AI for documents cluster.
What the score is for
- Prioritising human review
- Avoiding checking everything 100% (too costly)
- Spotting poorly scanned or ambiguous documents
- Feeding continuous improvement of the flow
Simple rules
- Critical fields: always confirmed (amount, key dates)
- Low score: the source must be opened
- High score + simple type: can be fast-tracked
- Recurring discrepancies: review the OCR, the model or the document types
Frequently asked questions
- Does a high score guarantee accuracy?
- No. It is an indicator, not proof. High-stakes fields still need confirming according to your policy.
- What should I do with a low score?
- Open the document, check the source area, correct the record. Then improve the scan quality if needed.
- Can thresholds be set per field?
- Yes, in practice: amount and notice period stricter than the label of an unambiguous document type.
Check where it matters
DocPilot shows the DocpilotAI proposal with a confidence level — you approve the sensitive points.
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