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OCR extracts business names, formation dates, and addresses from uploaded documents automatically. But users still need to trust what the system found before anything gets submitted.
We designed the confirmation flow around editable fields that surface extracted data clearly. Users review what the system found and correct where needed, rather than typing everything from scratch. The design choice was to make the AI output feel transparent and controllable.
The design choice was to make the AI output feel transparent and controllable. The result is a flow that reduces data entry to the minimum while keeping users fully in control of what gets submitted.
Great work!
Editable-by-default beats a blind accept/reject toggle here — it keeps the correction cost at one field when OCR gets a formation date wrong, instead of forcing a full manual re-entry the moment trust breaks on a single value.
Confirmation flows for OCR-extracted data are so easy to get wrong, either too much friction re-verifying everything or too little and errors slip through. Did you test how far you could push toward minimal review before people stopped trusting the auto-fill entirely?
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