AI Document Processing With Human Review
Extract details from uploaded documents, with a review step before anything is saved.
Upload to fields
- Type: SampleSorted
- Name: SampleRead
- Date: SampleConfirm
The Business Problem
Staff retype names, dates and reference numbers from uploaded documents. It is slow, and typing errors are easy to miss.
The Solution
OCR and AI-assisted extraction that proposes the details, with a review queue where a person confirms or corrects them before they enter the record.
How It Works
Documents are uploaded to a case or record.
Text is read and key fields are proposed.
A reviewer confirms or corrects each field.
Confirmed data is saved to the customer record.
Capabilities
- OCR for scanned and photographed documents
- Field extraction
- Human review queue
- Confidence flags for uncertain fields
- Link to the CRM record
- Processing log
Related Services and Examples
Is This Right for You?
This solution is a good fit if:
- Staff spend hours reading and re-keying information from documents
- Document types are repetitive, such as forms, letters or statements
- You want faster intake with a person checking the results
Common Questions
Does AI replace manual review?
No. Extracted information can be checked by a person before it is used, which keeps accuracy and accountability with your team.
Which document types work best?
Consistent, repeatable documents are the easiest starting point. We test with samples of your own before committing to a full build.
Discuss AI Document Processing
Tell us how this works today and where it breaks down. We will respond to the requirement.