Your team is re-typing data from documents that AI could read in seconds.
We build AI document extraction systems that read invoices, contracts, forms, and reports — extracting the exact data fields you need and pushing them directly to your existing systems. No more manual data entry.
What we extract — and what happens to the data
Each extraction system is built around your specific document types, your required data fields, and your target systems.
Invoice & PO processing
Extract supplier, amount, line items, PO number, payment terms. Push to accounts payable. Flag mismatches automatically.
Contract data extraction
Pull key dates, parties, clauses, renewal terms, and obligations from contracts into your CRM or contract management system.
Application form processing
Read application forms, extract applicant data, validate required fields, and route to the appropriate workflow.
Delivery note matching
Match delivery notes against purchase orders, flag discrepancies, and update inventory systems automatically.
Expense receipt processing
Extract merchant, amount, date, and category from receipts. Auto-code to cost centres and flag policy violations.
Medical & clinical documents
Extract patient data, test results, or clinical information from structured reports with GDPR-compliant handling.
From document received to data in your system — automatically
Document ingestion
Documents arrive via email, upload, or folder watch. The system picks them up automatically.
AI extraction
The AI reads each document, identifies the document type, and extracts your configured data fields.
Validation & confidence scoring
Extracted data is validated against your rules. Low-confidence fields are flagged for human review.
Output & routing
Validated data is pushed to your target system. Exceptions are routed to a review queue with the original document.
Questions about AI document extraction
What is an AI document extraction system?
An AI document extraction system uses large language models and computer vision to automatically read documents — invoices, purchase orders, contracts, application forms, delivery notes — and extract specific data fields from them. Unlike traditional OCR which just reads text, AI extraction understands document structure and context, so it can find 'supplier name' whether it appears at the top, bottom, or middle of an invoice, in any format.
What types of documents can it process?
The system works with invoices and purchase orders, contracts and legal documents, insurance or mortgage application forms, delivery notes and receipts, medical or clinical documents, onboarding paperwork, expense receipts, and structured reports. It handles PDFs, scanned images, Word documents, and email attachments. If your team is currently manually reading and re-typing data from a document type, AI extraction can almost certainly automate it.
How accurate is AI document extraction compared to manual processing?
For standard document types with consistent formats (invoices, purchase orders), accuracy typically reaches 95–99% after the initial training and calibration period. For more varied documents, accuracy is lower but consistently higher than human error rates for high-volume, repetitive tasks. The system also flags low-confidence extractions for human review rather than silently passing through incorrect data.
Does it integrate with our existing systems?
Yes. The extraction system is built with API outputs so extracted data can be pushed directly to your ERP, accounting software (Xero, Sage, QuickBooks), CRM, SharePoint, or any system with an API. We also build the routing logic — so an approved invoice goes to accounts payable, a flagged discrepancy goes to a reviewer, and a new supplier triggers an onboarding workflow.
How quickly can it be implemented?
Typically 2–4 weeks for a production-ready system. Week one covers document analysis, model configuration, and initial extraction testing. Week two covers integration with your target system, validation rules, and exception handling. Weeks three and four cover user acceptance testing, refinements, and go-live. Timeline varies with the number of document types and integration complexity.
What's the typical return on investment?
For a team processing 500+ documents per month manually, AI extraction typically delivers ROI within the first three months. A finance team spending 20 hours/week on invoice data entry, at an average cost of £25/hour, costs £26,000/year in manual labour. A document extraction system at £10–18K fixed cost pays for itself in under a year — and the time savings compound as volume grows.
Can it handle documents in different formats and layouts?
Yes. Unlike rigid template-based systems that break when a supplier changes their invoice layout, AI extraction is trained to understand document intent rather than fixed positions. It handles variable layouts, multi-page documents, tables, handwritten fields (with appropriate accuracy expectations), and documents in multiple languages.
What happens when the AI isn't confident about an extraction?
The system flags low-confidence extractions and routes them for human review rather than passing through incorrect data. You can set the confidence threshold — tighter thresholds mean more human review but higher accuracy; looser thresholds reduce manual intervention. We build the exception handling queue into the system so reviewers have a clear workflow for resolving flagged documents.
Tell us which documents your team processes manually
We'll review your document types, data requirements, and target systems — and send a fixed-price build plan within 24 hours.
Get a Fixed-Price Quote