OCR-ASSISTED COI REVIEW

Find the insurance details that deserve human attention.

COIRoster uses local document analysis to surface common COI fields and organize them for review, reducing repetitive reading without turning software output into an automatic compliance decision.

Surface common policy details

Bring forward recognized coverages, effective and expiration dates, policy numbers, insured information, and common endorsement language from submitted evidence.

Keep the source document nearby

Reviewers can compare extracted information with the original file instead of relying on OCR output alone.

Focus review time

Structured information helps a reviewer identify missing fields, unclear language, and possible requirement gaps more quickly than an unorganized inbox.

Preserve human control

OCR can misread documents and cannot interpret every policy condition. COIRoster requires a qualified person to approve or reject the evidence.

COMMON QUESTIONS

What teams should know about COI OCR.

Can OCR approve a certificate of insurance automatically?

No. OCR can recognize and organize common fields, but document quality, endorsements, exclusions, and project context still require qualified human review.

Which COI fields can be surfaced?

Common fields include named insured information, policy identifiers, effective and expiration dates, coverage types, limits, and recognizable endorsement language. Results vary with the source document.

What happens when extraction is uncertain?

The reviewer keeps access to the original file and confirms or corrects the information before making a compliance decision.

See OCR-assisted review with a real COI workflow.

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