Document work is the last big manual cost
Most companies have automated their customer-facing systems but still move information between documents and software by hand. Someone opens a supplier invoice, checks it against the purchase order, retypes the lines and files the PDF. Multiply that by a few hundred documents a month and it becomes a full role — one that is repetitive, error-prone and impossible to scale.
AI document processing removes the retyping. The AI employee interprets the document the way a person does, understands that 'Tot. incl. BTW' and 'Total incl. VAT' mean the same thing, and produces structured data your systems can consume.
Extraction, validation and posting
Extraction is only the first step. The value comes from validation: matching an invoice to the purchase order and the goods receipt, checking VAT treatment, verifying bank details against the supplier record to prevent payment fraud, and confirming that prices match the agreed contract.
Documents that pass validation are posted automatically. Documents that fail are queued for a human with the exact discrepancy highlighted, which turns approval into a five-second decision rather than an investigation.
- Three-way matching for purchase invoices
- Line-item extraction with units, discounts and tax codes
- Duplicate and fraud detection on bank details
- Contract clause extraction with renewal date alerts
- Structured output into ERP, accounting or document management
Outbound documents too
The same worker produces documents as well as reading them. From an enquiry it can generate a branded quote using your pricing rules, assemble a contract from approved clauses, or build a monthly report from operational data.
For businesses that quote frequently, the turnaround improvement is commercially significant: quotes produced in minutes rather than days convert at a noticeably higher rate.
Accuracy you can audit
Every extracted field carries a confidence score and a link back to the exact position in the source document. Anything below your threshold is escalated. Nothing is booked without traceability, which is what makes the process acceptable to accountants and auditors.
Accuracy improves continuously: each correction a human makes is fed back, so recurring supplier layouts are learned within a handful of documents.
Implementation in weeks, not quarters
We start with a representative sample of your real documents and measure baseline accuracy per document type. Integration with your ERP or accounting platform follows, then a parallel run where the AI employee processes everything alongside your existing workflow so you can compare outputs safely.
Once the numbers hold, the manual step is switched off for the document types that clear your threshold, and the rest continue in exception mode.