Confidence scoring

Know which extracted values
need a closer look

Apply your own standards to document data before it moves forward

AiCR assigns a confidence score to each extracted field, helping users evaluate results, set thresholds, and focus their review where it is needed most.

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What is document confidence scoring?

Document confidence scoring indicates how confident AiCR is in each value extracted from a document.

Because confidence is assigned at the field level, users can evaluate individual results rather than treating the entire document as either accepted or rejected.

AiCR allows users to

Review field-level scores

Borrower names, dates, addresses, loan terms, and other labeled values.

Set a confidence threshold

Rows, columns, headings, and values contained within document tables.

Filter structured results

Focus attention on values that fall below the selected threshold.

Control downstream delivery

Include qualifying results in exports and integrations.

Focus review where it matters

Review extracted values individually

Apply thresholds based on workflow requirements

Identify results that may need human review

Reduce unnecessary stare-and-compare work

Control which data is included in exports

Support more consistent downstream workflows

NEXT CAPABILITY

Dynamic discovery

Ask specific questions of your documents and include the answers in your structured results.