AI Document Processing That Turns Files into Review-Ready Records
Turn purchase orders and invoices into structured records your team can check and use.
Discuss a document-processing pilot with MTI Tech to connect data extraction, validation and human review. Start with one document family, flag missing or conflicting values, and define how approved information reaches your business systems.
Extract, check and prepare business records.
AI document processing converts information from files into structured fields. A complete workflow adds validation, source references, exception handling and human approval before information becomes a business record.
Missing values, unclear units and conflicting totals go to review before the record moves forward.
Test one document family first.
Start with a recurring purchase-order or invoice format. Agree on the fields, file quality, layout variations and destination before testing representative samples from your workload.
- Required fields
- Typical file quality
- Layout variations
- Destination system
Include difficult scans, stamps and handwritten notes so the test reflects everyday work.
Five stages to an approved record.
Capture
Receive the file through the agreed channel and keep its source reference.
Prepare
Identify the document type and extract the required fields.
Check
Validate required values against business rules and approved reference data.
Review
Send unclear or conflicting information to an authorized reviewer.
Transfer
Move approved information to the destination and record the outcome.
Example workflow. Supported documents, checks and connections are confirmed during scoping.
Check critical fields before transfer.
Purchase orders and invoices need different approval rules. The sample results illustrate the checks.
Know what your pilot will deliver.
Agree on the extraction scope, review process and acceptance test before work begins. Production connectors and deployment are quoted explicitly.
- Document family
- Required fields
- Destination system
- Approval boundary
- Acceptance test
- Reviewed sample results
- Field mapping
- Exception workflow
- Test findings
Measure the approved record.
Check critical-field correctness, incomplete records, reviewer time, rework and cost per approved document. Report field accuracy separately from whether the whole document can be used.
- Critical-field correctness
- Incomplete records
- Reviewer time
- Rework
- Cost per approved document
One incorrect total can make a record unusable, even when every other field is correct.
What to know before a pilot.
OCR converts scanned text into machine-readable text. AI document processing adds field extraction and document classification. A business workflow then checks values, routes exceptions and prepares approved records for your systems.
Supported formats and languages are confirmed through sample testing. Share representative purchase orders or invoices, including difficult scans and layout variations, so the pilot can establish its supported scope.
No. Extracting invoice data does not authorize payment. Financial approvals and payment actions require a separately agreed scope and permissions.
Cost depends on document volume, layout variation, required fields, validation rules, integrations and human review. Implementation, software usage and ongoing support should be itemized separately.
Tell us which documents you handle, your approximate monthly volume, the fields you need and the destination system. We will agree on a suitable channel before reviewing sensitive samples.
Which documents slow your team down?
Tell us what arrives, which fields matter and where approved records belong. Start with a focused purchase-order or invoice pilot.