The complete document-processing workflow
- 01
Capture
Receive documents from approved mailboxes, uploads, scanners, shared folders, or connected systems.
- 02
Classify
Identify the document type and choose the correct fields, rules, and destination.
- 03
Extract
Read text, tables, identifiers, amounts, dates, and line items into a defined structure.
- 04
Validate
Check required fields, formats, totals, duplicates, master data, and cross-document consistency.
- 05
Review
Present uncertain or policy-sensitive cases to a person with the source and proposed values together.
- 06
Post
Create or update the approved record in the CRM, ERP, accounting, logistics, or case-management system.
- 07
Monitor
Record the source, changes, approval, destination response, failures, and processing measures.
Documents that are often practical to automate
- Purchase orders and customer order forms.
- Supplier invoices, credit notes, and receipts.
- Delivery notes, bills of lading, and proof of delivery.
- Applications, claims, questionnaires, and onboarding forms.
- Contracts and amendments where specific fields or clauses must be checked.
- Certificates, compliance evidence, and identity documents under an approved policy.
Extraction is only the first half of the system
A model may read a value correctly and the process can still be wrong. The supplier may not exist, the purchase order may be closed, the total may not match the line items, or the same document may already have been processed.
| Validation layer | Example |
|---|---|
| Document checks | Required pages, readable quality, supported type |
| Field checks | Format, range, total, currency, identifier |
| Master-data checks | Known customer, supplier, product, contract |
| Cross-record checks | Invoice versus purchase order and receipt |
| Duplicate checks | Document number, amount, date, sender, file signature |
| Policy checks | Approval threshold, allowed variance, required evidence |
Design human review as part of the product
Reviewers should see the original document beside extracted fields, the failed checks, relevant system records, and the actions they may take. Corrections should be recorded and the case should return to the workflow without manual re-entry elsewhere.
- Route low-confidence or conflicting fields, not every document.
- Escalate according to consequence as well as model confidence.
- Allow correction, rejection, reassignment, and request for information.
- Preserve the source, proposed values, final values, reviewer, and timestamp.
Keep the CRM or ERP as the source of truth
The document workflow should respect existing customer, product, finance, stock, and permission rules. Prefer supported APIs and idempotent operations so a retry does not create a duplicate transaction.
Measure quality, work, and business flow
Pilot with representative layouts, senders, languages, scans, tables, and difficult cases. Expand only after the validation and review path is stable.
- Documents received, processed, rejected, and waiting for review.
- Straight-through rate and percentage requiring human correction.
- Field-level accuracy for information that matters operationally.
- Average handling and elapsed time before and after launch.
- Duplicate, posting, and integration failure rates.
- Backlog age and time spent on exceptions.
Treat document data as operationally sensitive
Define retention, access, encryption, regional processing, provider use, audit records, and deletion according to the documents involved. Do not send customer, employee, medical, financial, or identity data to an unapproved service simply because the extraction demo is convenient.