The challenge
Each loan application arrived with bank statements, identity documents and income proofs that were keyed in manually. Processing took a substantial part of a working day per file, and transcription errors surfaced during later verification, requiring rework.
What we did
We built an extraction pipeline for the standard document set, with an evaluation dataset assembled from historical files before deployment so accuracy was measured rather than assumed. Confidence thresholds route uncertain extractions to human review, and every extracted field retains a link to its source document region for verification. Nothing above a defined value threshold is processed without review.
The outcome
Processing time per file fell substantially, with the review step concentrating attention on genuinely ambiguous cases. Corrections made by reviewers feed back as evaluation signal, and accuracy is monitored continuously for drift.