Business Automation

Intelligent Document Processing

Every business has documents that someone reads and then types into somewhere else. Invoices. Contracts. Applications. Inspection reports. That reading-and-retyping step is pure cost.

Intelligent document processing replaces that step with a system that reads the document, pulls out the right fields, validates them, and writes them directly into your records.

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Intelligent document processing uses language models and structured extraction pipelines to turn unstructured documents into clean, queryable data. A vendor invoice becomes a set of line items, amounts, and payment terms in your accounting system. A signed contract becomes a record with expiration dates, parties, and obligations flagged for review. An intake form becomes a CRM entry with all fields populated.

The value compounds quickly. When extraction is automated, volume is no longer a staffing problem. You can process ten documents or ten thousand with the same system. Accuracy improves because the same rules apply every time, and every extraction is logged for audit.

Document Types We Process

We handle both structured forms with fixed layouts and semi-structured documents where the information can appear in different positions. Custom extraction models are trained on your actual documents.

Vendor invoices with line items, tax, and payment terms
Invoice data flows directly to your accounting system with line-item detail, totals, and payment terms extracted automatically. Accounts payable processing no longer requires manual entry.
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Signed contracts with party names, dates, and obligations
Key contract fields are extracted at signature: parties, effective date, expiration, renewal clauses, and obligations. Important dates surface for tracking without manual review of each document.
Insurance certificates and policy documents
Coverage types, limits, effective dates, and named insureds are extracted from certificates of insurance and filed to the right vendor or subcontractor record automatically.
Job applications and resumes into candidate records
Resumes and applications are parsed into structured candidate records in your ATS or database. Name, contact info, work history, and skills extracted without a coordinator copying data.
Medical intake forms and referral documents
Patient intake forms, referrals, and clinical documents are extracted and filed to the correct patient record. Reduces front-desk data entry in practices processing high form volume.
Building permits and inspection reports
Permit numbers, inspection dates, inspector names, and pass/fail results are extracted from construction documents and linked to the relevant project record.
Purchase orders matched against existing records
Incoming purchase orders are matched against open orders in your system. Discrepancies in quantity, price, or terms are flagged for review before any goods are received.
Shipping manifests and bills of lading
Carrier, tracking numbers, contents, and delivery details are extracted from freight documents and recorded in your logistics or order management system automatically.

Accuracy and Exception Handling

No extraction is perfect. We design every pipeline with a confidence threshold: extractions above the threshold pass through automatically, and low-confidence extractions route to a human review queue with the flagged fields highlighted. You get speed on the bulk and accuracy on the edge cases.

Every extraction is logged. You can audit any document, see what was extracted, and correct it if needed. Corrections feed back into the model over time.

For teams that generate outbound documents like contracts, proposals, and scope-of-work documents, see our document automation service.

Common Questions

Can you handle scanned PDFs and handwritten documents?
Yes. Scanned documents go through optical character recognition before extraction. Handwritten fields are harder and accuracy varies by legibility. We test on a sample of your actual documents before committing to an accuracy target.
How does accuracy compare to a trained human reviewer?
On clean, typed documents the extraction accuracy typically exceeds 97% on well-defined fields. On noisy or unusual documents, it is lower. We are honest about the numbers on your specific document set before you buy.
What happens when a document format changes?
Semi-structured extraction models are relatively format-tolerant. Fully rule-based systems break when layouts change. We build with the more flexible approach and include a monitoring step that flags format drift before it causes silent errors.
Where does the extracted data go?
Wherever you need it. We write to your existing systems: your accounting platform, your CRM, your ERP, a database, or a spreadsheet. The destination is part of the integration design.
What is the difference between intelligent document processing and document automation?
Intelligent document processing extracts data from documents you receive inbound. Document automation generates documents you send outbound from your existing data and templates. They often work in sequence: an incoming invoice is processed to extract the data, which then triggers a generated payment confirmation.

Outcome

01Documents processed in seconds instead of hours.
02Rekeying errors eliminated at the source.
03Searchable, structured records instead of PDFs in a shared drive.
04Staff time redirected from data entry to higher-value work.

Keep Exploring

Business Automation

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Document Automation

Generate outbound contracts, proposals, and templates automatically from your existing data.

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AI Integration Services

Connect the output of document processing to the systems that need it downstream.

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