Document AI & Intelligent Data Extraction
Read, extract, validate, and file any document without touching it
Document AI turns unstructured paperwork into structured data your systems can act on. Invoices, contracts, claims forms, purchase orders, statements — read, understood, checked against your rules, and pushed into the right system with a confidence score attached.
- Per document
- SecondsPer document
- Field confidence
- ScoredField confidence
- Full trail
- AuditedFull trail
Typical stack
- Azure Document AI
- OpenAI Vision
- Python
- Postgres
- Queue Workers
Why this keeps costing you
Document handling is quietly one of the most expensive processes in most businesses. Someone opens a PDF, reads it, retypes eight fields into another system, files it somewhere, and repeats. It is slow, it is error-prone, and the errors surface weeks later in a reconciliation nobody enjoys.
Inside a document AI pipeline we ship
- OCR and layout parsing for scans, photos, native PDFs, and email attachments
- Field extraction with per-field confidence scoring rather than all-or-nothing output
- Validation rules that check totals, dates, references, and cross-document consistency
- Human review queues for low-confidence extractions with single-screen correction
- Straight-through posting into ERP, accounting, or CRM systems
- Classification that routes each document type to the right pipeline automatically
The part most implementations skip
We design for the ninety percent and route the rest to people. Documents that extract cleanly and pass validation flow straight through. Anything below your confidence threshold, or failing a business rule, lands in a review queue where a person fixes it in seconds — and that correction feeds back into extraction quality.
What you actually receive
- Extraction schema per document type agreed with your team
- Accuracy benchmark measured on a sample of your real documents
- Review queue interface for exceptions
- Integration writing extracted data into your system of record
- Retention and audit configuration matching your compliance requirements
Document AI in your sector
How document ai plays out in the industries we work with most.
- Document AI for Law FirmsFirst-pass contract review is expensive and profoundly repetitive.
- Document AI for Financial ServicesStatements arrive in forty formats and get keyed by hand.
- Document AI for HealthcareReferral letters arrive as PDFs and leave as retyped records.
- Document AI for LogisticsEvery consignment carries paperwork somebody has to read.
- Document AI for Real EstateCompliance paperwork is filed by hand and audited under pressure.
Common Questions
- What accuracy should we expect?
- Clean native PDFs of a consistent format extract very reliably. Poor scans and highly variable layouts are harder. We benchmark on your actual documents before committing to a threshold, and the confidence scoring means low-certainty extractions get reviewed rather than silently posted.
- Do we still need someone reviewing documents?
- For a much smaller share. The goal is that your team reviews the exceptions rather than every document — which typically means a fraction of the volume, handled in seconds each rather than minutes.
- Can it handle documents in multiple languages?
- Yes. Multilingual extraction is well supported. Right-to-left scripts and handwritten fields warrant a test on your real samples first, which we do during scoping.
Often built alongside this
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