Clear, owned outputs.
- Document inventory and requirements
- Configured extraction models
- Validation rules
- Review interface
- Integration and accuracy reporting
Intelligent document processing reads documents — scanned or digital — identifies what they are and extracts the information you need into your systems. It combines OCR, layout understanding and language models with validation rules and human review, so accuracy is checked rather than assumed.
The problems Intelligent Document Processing solves.
OCR, classification and extraction from invoices, forms and contracts, with review.
Invoices, forms and applications are keyed in by hand.
Document formats vary too much for templates.
Processing delays slow payments, approvals or onboarding.
Errors in extracted data cause downstream problems.
What Intelligent Document Processing covers.
Document classification
Recognizing document types automatically.
OCR and layout
Reading text, tables and structure from scans and PDFs.
Field extraction
Pulling values such as dates, amounts, parties and line items.
Validation
Checking extracted data against rules and reference data.
Human review
An interface for checking low-confidence fields.
Integration
Sending validated data to ERP, CRM or case systems.
How documents become data.
Invoices, claims, forms and contracts arrive in every layout. Intelligent document processing turns them into validated fields your systems can use.
- 01
Capture
Emails, uploads and scans collected in one queue, with image clean-up for poor scans.
- 02
Classify
Each document identified by type so the right extraction rules apply.
- 03
Extract
OCR plus layout-aware models or LLMs pull out fields such as supplier, totals, dates and line items.
- 04
Validate
Checks against business rules and source systems: purchase order matches, totals add up, mandatory fields present.
- 05
Review and post
Low-confidence fields go to a person; approved data is posted to ERP, CRM or the claims system.
Why it's worth it.
Faster processing
Documents handled in minutes, not days.
Measured accuracy
Validation and review catch errors.
Less manual entry
Staff review exceptions instead of typing everything.
When Intelligent Document Processing is the right move.
- Accounts payable invoice processing.
- Onboarding forms and identity documents.
- Extracting key terms from contracts or shipping documents.
Technologies & platforms
- Azure AI Document Intelligence
- Amazon Textract
- Google Document AI
- Tesseract
- Azure OpenAI
- Python
- Power Automate
How Intelligent Document Processing work runs.
- 01
Scope
The task, users, content sources, risks and how success will be judged.
- 02
Prototype
A working prototype on real examples, reviewed by the people who will use it.
- 03
Evaluate
Test sets for accuracy, safety and edge cases, with human review.
- 04
Harden
Security, permissions, guardrails, logging and cost controls.
- 05
Launch and improve
Phased rollout, feedback loops and regular evaluation.
Intelligent Document Processing questions.
Can IDP handle handwriting?
Modern OCR handles many handwriting styles, though accuracy varies. We test with your documents and route uncertain fields to review.
How accurate is document extraction?
It depends on document quality and variety. We measure accuracy per field on your samples and set confidence thresholds for review.
Is sensitive document data kept secure?
Yes. Processing can run in your cloud environment, with encryption, access controls and retention rules agreed with you.
Talk to us about intelligent document processing.
Tell us which decision or process you want to improve and what data you have. We'll reply with whether it's a good fit and how we would test it.