Artificial intelligence · Artificial Intelligence
Intelligent document processing
Invoices, contracts, forms and emails turned into structured data, with nobody transcribing by hand.
- Formats
- PDF, images, Office and email
- Accuracy
- Cross-validation before recording
- Duration
- 4 to 8 weeks
- Volume
- From hundreds to thousands a month
The problem
The most expensive bottleneck in many companies is a person copying data from a PDF into a system. It is slow, it is tedious and it produces errors discovered months later.
What it includes
Document reading
Text and structure extracted from PDFs, scanned images and office files, even at uneven quality.
Field extraction
Identification of the data that matters —amounts, dates, tax IDs, line items, deadlines— and its recording in the destination system.
Cross-validation
Every extracted value is checked against business rules and, where applicable, against another source before being accepted.
Human review where it matters
Anything doubtful goes to a person with the document and the field flagged, instead of being recorded silently.
Classification and filing
Documents are tagged, named and filed where they belong, ready to be found later.
How we work
- 01SampleWe analyse a real batch of your documents, odd cases included.
- 02ModelTuning of extraction and validation rules.
- 03Soft launchParallel operation until human accuracy is matched or exceeded.
- 04ProductionFull automation with review by exception.
Deliverables
| Document | Length |
|---|---|
| Flow in production Connected to your destination system. | included |
| Accuracy report Measured against the control batch. | included |
Documents usually contain personal data. It is redacted before going out to any external model and, if sensitivity demands it, the processing runs on your own infrastructure.